Mechanical Design Engineer Jobs in Egypt

<p>SYSTRA is one of the world's leading engineering and consultancy groups specialising in public transport and sustainable mobility. With over 10,300 employees, SYSTRA's mission is to design safe and sustainable transport solutions to bring people together, develop social inclusion and facilitate access to employment, education and leisure throughout the world. For 65 years, the Group has been working alongside cities and regions to contribute to their development by creating, improving and modernising their infrastructure and transport systems, throughout the life cycle of their projects. SYSTRA is involved from the earliest stages of design through to the testing, deployment and maintenance phases. The company provides all its services in over 80 countries worldwide and generates 74% of its turnover internationally. With its new services, SYSTRA supports its clients and partners in their digital, ecological and energy transition, in order to invent the mobility of tomorrow.</p><p>Context QA/QC Engineer - Lead-Tram project</p><p>Missions/Main Duties</p><ul><li>Manages direct report QA /QC Engineers on a daily basis.</li><li>Sets work schedule QA/QC team for shift work and rest days.</li><li>Performs quality control inspection duties related to construction Contractor work activities including, but not limited to the following:</li><li>Review submissions from the Contractor and prepare comments</li><li>Receives inspection notification from Contractor and ensures attendance as described in ITP</li><li>Maintains frequent contact with contractor s quality control staff in performing their duties.</li><li>Performs observation, surveillance activities on selected Contractor project field activities and field supervision operations. including health, safety and environmental controls.</li><li>Prepares summary Site Observation Reports from direct reports reflecting observations, discussions and/or significant events and liaises with Project Construction personnel for any significant quality matters.</li><li>Issues Site Observation Reports (SOA) to Contractor as appropriate and ensures SOR register is maintained for the project</li><li>Monitors progress for close out evidence of NCRs, QVNs and SORs</li><li>Discuss NCR, QVN progress with Contractor and Quality Manager at regular workshops</li><li>Witness and record result of planned inspections (IR) as notified by the Contractor and maintain photographic records</li><li>Witness laboratory sampling and testing</li><li>Witness material inspections (MIR)</li><li>Provides reporting to Project field management organization of any deficiencies in Contractor compliance with approved plans and procedures, issues related to implementation of the work and other pertinent matters.</li><li>Recognize developing issues work that is contractually non-compliant or contrary to approved plans or procedures.</li><li>Maintains proactive relationship with Contractor s quality and supervisory staffs to facilitate any necessary corrective action by the Contractor in accordance with authorized procedures.</li><li>Other supplemental duties as appropriate from time to time</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Civil Engineering, or a related field.</li><li>Minimum of 10 years of experience in ideally within large infrastructure projects.</li><li>Experience in rail or high-speed rail projects preferred.</li><li>Proficiency in Microsoft Office suite and AutoCAD.</li><li>Excellent analytical, negotiation, and communication skills.</li><li>Ability to work effectively under pressure and meet tight deadlines.</li><li>Egyptian nationals with very good command of English language</li></ul>

<p>An international technology startup is building its core development team in Egypt for the development and launch of a new-generation digital platform.</p><p>We are seeking an experienced AI / Machine Learning Engineer who can design, build, deploy and continuously improve production-grade AI systems. The successful candidate will work closely with European management and the wider engineering team to develop the platform’s core AI capabilities.</p><p>Key Responsibilities:</p><p>• Design and implement AI and machine learning solutions for a scalable digital platform<br>• Develop applications using Large Language Models (LLMs), Generative AI and Natural Language Processing<br>• Build Retrieval-Augmented Generation (RAG) pipelines, embedding systems, semantic search and vector database integrations<br>• Integrate external and internal AI APIs into production applications<br>• Develop evaluation, testing and monitoring processes for AI outputs<br>• Optimize AI systems for accuracy, latency, reliability, security and operating cost<br>• Build and maintain data processing, indexing and retrieval pipelines<br>• Collaborate with backend, frontend, mobile, cloud and product teams<br>• Document technical decisions, architectures and development processes<br>• Contribute to engineering standards, code reviews and continuous product improvement</p><p>Working Environment:</p><p>• International technology project<br>• Egypt-based development team<br>• Collaboration with European management<br>• Long-term full-time opportunity<br>• Competitive compensation based on experience<br>• Professional growth as the company and technical team scale</p><p>Due to the innovative and confidential nature of the project, detailed information regarding the product, business model and proprietary technology will be disclosed only to shortlisted candidates and, where appropriate, after execution of a Non-Disclosure Agreement (NDA).</p><p><strong>Requirements</strong></p><p>• 4–7 years of professional experience in AI, Machine Learning or production software engineering</p><p>• Strong proficiency in Python and experience writing clean, tested and maintainable production code</p><p>• Hands-on experience with Large Language Models (LLMs), Generative AI, prompt engineering and AI APIs</p><p>• Practical experience building Retrieval-Augmented Generation (RAG) systems</p><p>• Experience with embeddings, vector databases, semantic search, information retrieval and reranking</p><p>• Strong knowledge of Natural Language Processing; experience with multilingual systems is considered an advantage</p><p>• Experience deploying, evaluating and monitoring AI or machine learning systems in production</p><p>• Familiarity with REST APIs, PostgreSQL, data pipelines and backend service integration</p><p>• Experience with Docker and at least one major cloud platform: AWS, Microsoft Azure or Google Cloud Platform</p><p>• Understanding of AI security, data privacy, access control and responsible handling of sensitive information</p><p>• Strong problem-solving skills and ability to work independently, document decisions and meet deadlines</p><p>• Good command of written and spoken English</p><p>• Candidates must be based in Egypt or available to work as part of our Egypt development team</p><p>• Bachelor’s degree in Computer Science, Artificial Intelligence, Engineering or a related field, or equivalent demonstrated professional experience</p><p>Preferred Qualifications:</p><p>• Experience with MLOps, model evaluation, observability, caching and cost optimization</p><p>• Experience developing scalable SaaS platforms or startup products</p><p>• Knowledge of PyTorch, TensorFlow, LangChain, LlamaIndex or similar frameworks</p><p>• Previous experience collaborating with international or distributed engineering teams</p><p>Applicants should provide a CV, LinkedIn profile and GitHub profile or technical portfolio, where available.</p><p></p>

<p><strong>1.&nbsp;&nbsp;&nbsp;&nbsp; Maintenance Planning &amp; Execution</strong></p><p></p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Submit and finalize corrective, preventive, and predictive maintenance plans for production line machines.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Conduct regular inspections to evaluate machinery condition and diagnose problems.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Review maintenance records, diagnose faults, and prepare required maintenance statements.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Complete examination and repair forms and prepare improvement proposals.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Distribute and follow up on all maintenance tasks according to approved maintenance requests.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Ensure all maintenance services are provided safely and efficiently.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Maintain mechanical systems, converters, and hydraulic motors.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Check and maintain power systems and electrical components in production.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <strong>&nbsp;Spare Parts &amp; Procurement Control</strong></p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Analyze spare parts requirements for all production line machines.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Ensure availability of spare parts in coordination with warehouse and procurement.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Handle all PR requests for spare parts and follow up until the full cycle is completed.</p><p><strong>2.&nbsp;&nbsp;&nbsp;&nbsp; Documentation, Logs &amp; Reporting</strong></p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Ensure machinery logs are up to date and conduct performance analysis.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Prepare reports related to repairs, inspections, and development proposals.</p><p><strong>3.&nbsp;&nbsp;&nbsp;&nbsp; Safety &amp; Compliance</strong></p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Ensure compliance with safety standards and report any anticipated risks or violations.</p><p><strong>4.&nbsp;&nbsp;&nbsp;&nbsp; Coordination &amp; Issue Resolution</strong></p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Analyze and follow up on maintenance complaints from production departments.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Direct, coordinate, and supervise all mechanical and electrical maintenance activities on production lines.</p><p><strong>5.&nbsp;&nbsp;&nbsp;&nbsp; Team Development &amp; Training</strong></p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Develop maintenance team members and provide necessary training programs to enhance their technical skills.</p><p>Support improvement of production procedures through continuous team development</p><p><strong>Requirements</strong></p><p>Bachelor’s degree in engineering (Mechanical, Mechatronics)</p><p>1 To 3 Years of experience in the same position in relevant field</p><p>Proficiency in Microsoft Office (Excel, Outlook, Word, and PowerPoint).</p><p>Previous Experience using ERP is a plus.</p><p>Excellent command of English is a must</p>

Mixel, a Silvaco Company, is an innovator of high-performance analog mixed signal semiconductor IPs whose solutions are powering Mobile, Display, Camera, Automotive, VR, AR and AI applications.<br><br>Our mission is to provide our customers and partners with outstanding mixed-signal, silicon-proven IPs, creating in the process a differentiating technology that sets your products apart.<br><br>At Mixel, you will find an inspiring environment with a strong focus on technical innovation, people well-being, no layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We value open communication, empathy, mutual trust, and respect.<br><br>Job Description<br><br>Kick-start your career with Mixel-Egypt's 3-month Internship Program. Learn from experienced engineers, contribute to real engineering projects, and develop practical skills using industry-leading design methodologies, tools, and workflows in a collaborative, innovation-driven environment.<br><br>Qualifications<br><br>Essential Qualifications and Experience: <br><br>Bachelor’s degree of : Electronics/Computer Engineering. English Language Proficiency: Fluency Computer skills required: Unix/Linux operating system Experience with Python shell scripting/programming languages (TCL, Perl, Skill, Makefile, and Shell) is a plus. <br><br>Desirable Qualifications And Experience<br><br>Experience with data management tools (Subversion, CVS, GIT) is a plus. Unix/Linux operating systems. <br><br>Additional Information<br><br>Please add your current GPA (or latest academic grade) and military status (if applicable) to your resume. Outstanding interns may be considered for future full-time opportunities based on performance and business needs.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>ABOUT UNILEVER</b><br>With 3.4 billion people in over 190 countries using our products every day, Unilever is a business that makes a real impact on the world. Work on brands that are loved and improve the lives of our consumers and the communities around us. We are driven by our purpose: to make sustainable living commonplace, and it is our belief that doing business the right way drives superior performance. At the heart of what we do is our people – we believe that when our people work with purpose, we will create a better business and a better world. <br>At Unilever, your career will be a unique journey, grounded in our inclusive, collaborative, and flexible working environment. We don’t believe in the ‘one size fits all’ approach and instead we will equip you with the tools you need to shape your own future.<br><b>JOB PURPOSE</b><br>Unilever is the place where you can bring your purpose to life with the work that you do – creating a better business and a better world. If you are a highly skilled and proactive Mechanical Technician to join our production team in a shift pattern. The primary focus of this role is to ensure maximum equipment uptime and efficiency within our cosmetics manufacturing facility. You will be responsible for rapidly solving equipment breakdowns to minimize downtime, supporting scheduled maintenance activities, and driving continuous improvement initiatives. then this role is just for you!<br><b>WHAT WILL YOUR MAIN RESPONSIBILITIES BE<br></b>• Emergency Breakdown Response &amp; Repair:<br>• Diagnose and execute timely repairs of mechanical equipment failures (e.g., pumps, mixers, conveyors, packaging machines) to quickly restore production operations.<br>• Rapidly solve breakdowns and log all fault details to identify recurring issues.<br>• Enhance Mean Time To Repair (MTTR) by optimizing diagnostic and repair processes.<br>• Planned &amp; Preventive Maintenance (PM):<br>• Support in planned maintenance activities, including scheduled inspections, lubrication, adjustments, and component replacements, to prevent unscheduled downtime.<br>• Ensure all maintenance tasks are completed according to the established PM schedule and quality standards.<br>• Continuous Improvement &amp; Reliability:<br>• Actively participate in and create Kaizen (continuous improvement) proposals focused on improving equipment reliability, reducing breakdown frequency, and streamlining maintenance workflow.<br>• Recommend and implement solutions to chronic maintenance problems.<br>• Documentation &amp; Compliance:<br>• Complete accurate and detailed maintenance reports, work orders, and logbook entries (paper and digital) promptly.<br>• Ensure compliance with all safety, health, and environmental regulations and quality standards specific to the cosmetics industry (e.g., GMP - Good Manufacturing Practices)<br><b>WHAT YOU NEED TO SUCCEED</b><br><b>Experiences &amp; Qualifications</b><br>• A minimum of 5 years of hands-on experience as a Mechanical Technician in a fast-paced industrial environment.<br>• Proven experience in factories, specifically in the cosmetics, pharmaceutical, food, or fast-moving consumer goods (FMCG) sector is highly preferred.<br>• Demonstrated experience with pneumatic systems, hydraulics, power transmission, and precision alignment.<br>• Minimum of a Technical Education qualification (e.g., Diploma/Certificate in Mechanical Engineering, Industrial Maintenance, or a related field).<br><b>Skills<br></b>• Technical &amp; Soft Skills:<br>• Strong ability to diagnose complex mechanical faults.<br>• Proficiency with MS Office (Word, Excel) for reporting, data logging, and tracking maintenance schedules.<br>• Good in English reading for comprehending technical manuals, safety procedures, and Standard Operating Procedures (SOPs).<br>• A strong commitment to safety and quality, particularly GMP standards.<br>Leadership<br>• You are energized by delivering fantastic results. You are an example to others – both your results and your resilience. You are constantly on the lookout for better ways to do things, engaging and collaborating with others along the way.<br>• As an individual you are the one responsible for your own wellbeing and delivering high standards of work. You must also focus on the Consumer and what they need. You are humble and have your head up, looking around to interpret evidence and data smartly, spot issues and opportunities to make things better.<br>•<b> Critical SOL (Standards of Leadership) Behaviors</b><br>o PASSION FOR HIGH PERFORMANCE: Takes personal responsibility and accountability for execution and results. Has an owner’s mindset, using data and insight to make decisions.<br>o PERSONAL MASTERY: Sets high standards for themselves. Actively builds own wellbeing and resilience.<br>o CONSUMER LOVE: Whatever their role, always looks for better ways to serve consumers. Invests time inside and outside to understand the needs of consumers.<br>o PURPOSE &amp; SERVICE: Has humility, understanding that leadership is service to others, inside and outside Unilever.<br>o AGILITY: Explores the world around them, continually learning and developing their skills.<br>Unilever embraces diversity and encourages applicants from all walks of life! This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity.</p><br><br><br><br><p><span>Unilever is an organisation committed to equity, inclusion and diversity </span><span>to drive our business results and create a better future, every day, for our diverse employees, global consumers, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. At Unilever we are interested in every individual bring</span><span>ing </span><span>their ‘Whole Self’ </span><span>to work and this includes you! Thus if you require any support or access requirements, we encourage you to advise us at the time of your application so that we can support you through your recruitment journey. </span></p><br><br><br><br><p>#LI-DNP</p><br><br><br> </div>

<p>Siemens Mobility (SMO) is the world s leading provider of mobility solutions that enable the efficient, safe, and environmentally friendly transport of people and goods helping to improve the quality of everyday life for millions worldwide. Motivated by innovation, we develop intelligent solutions for the growing digitalization of the transport sector. Our offerings include rail vehicles, rail automation, road traffic management systems, rail electrification, and services. In Egypt, Siemens Mobility is delivering one of the country s first high-speed rail system. This landmark project, spanning approximately 2,000 kilometers, will connect 60 cities across Egypt, transforming transportation for both passengers and goods. Participating in this project could be a pivotal milestone in your career and a significant historical achievement for the region. Today, we are recruiting for a Senior Quality Engineer to join our team in Egypt. This is an excellent career opportunity for professionals looking to join a truly international team in one of the biggest projects of Siemens Mobility.</p><p>What are my responsibilities?</p><p>Quality &amp; Equipment Preservation</p><ul><li>Establish and maintain the Quality Management System in accordance with Siemens Quality Standards, ensuring execution of quality plans and PM milestones from DWE/AFC , driving continuous improvement, and supporting high-quality project execution through proactive quality assurance.</li><li>Manage internal and external non-conformances by initiating, implementing/assigning, and verifying corrective actions as needed, while ensuring transparent quality reporting and communication.</li><li>Maintain and conduct supplier audits and internal audits to discover opportunities for improvement, including quality-based supplier management through the execution of SQM for installation companies and local suppliers, timely resolution of supplier quality issues, and alignment of sourcing decisions with project quality objectives.</li><li>Develop and provide regular quality reporting, drive the KPIs relevant to the respective project phases, provide an overview of the current project status, and identify critical situations at an early stage.</li><li>Create, moderate, and drive the implementation of quality assurance measures, including root cause analyses and lessons learned.</li><li>Initiate and manage Requests for Deviation/Waivers with relevant stakeholders and departments, ensuring timely review, approval, documentation, and compliance with project and quality requirements.</li><li>Facilitate and participate in Project Gate Reviews and ensure the timely implementation and closure of resulting actions.</li><li>Create and review Inspection &amp; Test Plans (ITPs), quality records, and site documentation.</li><li>Manage and drive the MIR process, ensuring that all materials are inspected, documented, approved, and compliant with project, contractual, and Siemens quality requirements.</li><li>Ensure and maintain all quality documentation, certificates, inspection reports, and test records (FAT/SAT) are properly maintained and submitted.</li><li>Monitor site activities to ensure compliance with contractual requirements, specifications, applicable standards, and Siemens Quality Management System requirements.</li><li>Define and maintain the preservation strategy for long-term stored and idle equipment and establish policies, procedures, and governance frameworks for storage, preservation, and, if needed, maintenance activities.</li><li>Ensure and monitor alignment of preservation activities with OEM requirements, project specifications, contractual obligations, and applicable quality requirements.</li><li>Monitor and report the performance of preservation programs through periodic reporting and review inspection reports and equipment condition assessments as needed.</li><li>Identify and manage strategic risks related to equipment degradation and ensure mitigation actions are implemented, integrating preservation risks into the overall project quality and risk management processes.</li><li>Ensure and verify that supplier documentation, manuals, and preservation procedures comply with project standards and coordinate supplier quality and preservation requirements within procurement and project activities.</li><li>Coordinate and manage subcontractor contracts and establish the preservation regime with subcontractors for preservation activities.</li><li>Coordinate and ensure that required assets, such as maintenance consumables and preservation spare parts, are made available.</li><li>Provide oversight and monitor site and warehouse conditions in terms of preservation effectiveness, monitor preservation work contractors, and ensure appropriate resource allocation.</li><li>Provide and integrate periodic management reports regarding equipment condition, preservation status, identified risks, quality performance, and required mitigation actions.</li><li>Drive and ensure continuous improvement across quality and equipment preservation activities through proactive assurance, audits, root cause analyses, lessons learned, corrective actions, and effective stakeholder communication.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Bachelor s degree in engineering, Quality Management, Industrial Engineering, Mechanical Engineering, Electrical Engineering, or a related technical discipline; 7 to 9 years of relevant professional experience in Quality Management, Project Quality, Quality Assurance/Control, Equipment Preservation, or a comparable role within industrial, or large-scale project environments. Fluency in English (written and verbal), German is a plus Prior experience in Egyptian mainline railway or metro projects is preferred. Expertise in quality Management Systems, Quality Assurance/Quality Control, supplier quality management (SQM) and equipment preservation for long-term stored or idle equipment. Managing multiple priorities, coordinating suppliers and subcontractors, monitoring project quality performance, identifying critical situations at an early stage, and ensuring timely implementation of corrective and preventive actions. Stakeholder management, communication, teamwork, coordination, analytical thinking, problem-solving, risk identification, decision-making, and driving continuous improvement across multidisciplinary and international project teams.</p>

-The Project Manager is responsible for the planning, design, construction, and delivery of capital projects in Egypt, including plasma donor centers, plasmapheresis academies, and offices. The role oversees the full project lifecycle, from site identification and feasibility assessment through design, permitting, construction, commissioning, and operational handover. Responsibilities include both the development of new facilities and the renovation, expansion, and improvement of existing buildings. He will serve as the primary liaison with local real estate partners, brokers, landlords, consultants, contractors, and regulatory authorities to ensure projects are delivered safely, on schedule, within budget, and in compliance with corporate standards and local regulations. The position requires strong project management, construction, and stakeholder management skills, as well as the ability to coordinate multidisciplinary teams across multiple countries and cultures to support the organization's international expansion objectives.<br>Lead multidisciplinary project teams consisting of internal and external architects, engineers, consultants, operations personnel, and contractors. Ensure compliance with all applicable local regulations, building codes, health authority requirements, environmental standards, safety regulations, and corporate policies. Source, evaluate, prequalify, and manage contractors, consultants, suppliers, and vendors to meet project objectives and quality standards. Negotiate, review, and authorize project proposals, budgets, contracts, change orders, and service agreements with contractors and vendors. Develop and manage project budgets, provide CAPEX forecasts, and support Long Range Planning (LRP) activities for assigned programs and projects. Coordinate and secure all required project approvals, permits, and authorizations,Drive value engineering initiatives and identify opportunities to optimize project costs, schedules, quality, and operational efficiency. Develop, monitor, and communicate project schedules, milestones, risks, and progress updates to management and key stakeholders. Proactively resolve project-related conflicts, issues, and constraints to maintain project momentum and achieve business objectives. Manage project scope changes, mitigate risks, and implement corrective actions to prevent delays and control unnecessary costs. Facilitate timely decision-making by coordinating stakeholders and escalating critical issues when necessary to maintain project schedules. Develop and manage phased construction and renovation plans for projects within active operational facilities to minimize business disruption. Lead regular project meetings and ensure effective communication among internal stakeholders, consultants, contractors, and external partners. Coordinate with government agencies, municipalities, landlords, and regulatory authorities to obtain permits, approvals, inspections, and occupancy certifications. Review architectural and engineering designs to ensure compliance with operational requirements, regulatory standards, and corporate design guidelines. Act as the project lead responsible for the successful delivery, commissioning, and handover of new and renovated donor centers. Perform other duties and special projects as assigned in support of the company's international expansion and facilities development strategy.<br>Requirements:Minimum 5-8 years of progressive experience in construction management, project management, facilities development, or real estate development, preferably within healthcare, life sciences, pharmaceutical, or commercial environments. Bachelor's degree in Civil Engineering, Construction Management, Architecture, or a related field. English proficiency - Arabic mother language Proficiency in Excel, microsoft project and SAP

<p><h4>Who we are</h4> <p>VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through talent, technology & transformation.</p> <p>As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and third party capability.</p> <p>We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.</p> <p><strong>VOIS Be unrivalled Create the future</strong></p> <h4>About this role</h4> <p>We are seeking a backend AI automation engineer to design and deliver next-generation automation solutions enhanced by artificial intelligence and generative AI. This role focuses on building Python-driven, cloud-native automation systems, integrating large language models (LLMs), APIs, and enterprise platforms to solve complex business challenges at scale. The successful candidate will contribute to automation architecture, accelerate AI adoption, and ensure solutions are secure, resilient, scalable, and production-ready.</p> <h4>What you’ll do</h4> <ul> <li>Architect, develop, and optimise Python-based backend solutions with a strong focus on scalability, reliability, and maintainability.</li> <li>Design and implement AI-enabled automation solutions that combine traditional automation approaches with generative AI and LLM capabilities.</li> <li>Build, secure, and maintain reusable APIs to support seamless integration across enterprise platforms and business systems.</li> <li>Collaborate with local market AI developers and cross-functional stakeholders to create effective AI-driven automation architectures.</li> <li>Apply robust system design principles to deliver modular, scalable, and sustainable solutions.</li> <li>Leverage enterprise automation and orchestration tools to automate workflows and integrate AI capabilities into business processes.</li> <li>Provide technical guidance and mentorship to team members while promoting engineering best practices.</li> <li>Evaluate and adopt emerging technologies, contributing to innovation initiatives and technical roadmaps across AI, cloud, and automation domains.</li> </ul> <h4>Who you are</h4> <ul> <li>Experienced in Python development with 3 to 6 years of hands-on experience building automation solutions and AI-enabled services.</li> <li>Skilled in working with large language models (LLMs), prompt engineering, model fine-tuning, and inference optimisation.</li> <li>Proficient in designing, building, and integrating APIs within enterprise and cloud environments.</li> <li>Experienced in developing cloud-native applications using AWS and/or Google Cloud Platform (GCP).</li> <li>Strong knowledge of modern Python frameworks such as FastAPI and LangChain.</li> <li>Solid understanding of cloud architecture, distributed systems, scalability, and software design patterns.</li> <li>Experience with automation and orchestration platforms is advantageous.</li> <li>Skilled at communicating effectively with both technical and non-technical stakeholders.</li> <li>Demonstrated ability to solve complex problems through collaborative and innovative approaches.</li> <li>Experience supporting, mentoring, or guiding other engineers and contributing to technical initiatives is highly valued.</li> </ul> <h4>Not a perfect fit?</h4> <p>Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.</p> <h4>What's in it for you</h4> <ul> <li>Opportunity to work on large-scale AI and generative AI transformation initiatives.</li> <li>Exposure to modern cloud-native architectures and enterprise-grade automation platforms.</li> <li>Collaboration with global and local AI specialists across Vodafone markets.</li> <li>Ability to influence technical direction and contribute to innovative automation strategies.</li> <li>Opportunities to mentor others and expand technical leadership capabilities.</li> <li>Experience delivering impactful solutions that improve business efficiency and customer outcomes.</li> </ul> <h4>What skills you will learn</h4> <ul> <li>Advanced AI and generative AI solution design and implementation.</li> <li>Enterprise-scale LLM integration, optimisation, and governance practices.</li> <li>Cloud-native architecture patterns across AWS and GCP environments.</li> <li>API-first design principles and enterprise integration strategies.</li> <li>End-to-end automation architecture and workflow orchestration techniques.</li> <li>Scalable backend engineering, system reliability, and platform design best practices.</li> <li>Technical leadership, stakeholder management, and innovation planning skills.</li> </ul> <h4>VOIS equal opportunity employer commitment</h4> <p>Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.</p> <h4>Join us</h4> <p>At Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.</p> <p>We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.</p> <p>With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.</p> <h4>Alert</h4> <p>Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud.</p></p><p></p>

<strong>Requisition ID 66514<br><br>Position Type FT Permanent<br><br>Workplace Arrangement <br><br></strong><strong>About Kerry<br><br></strong>Kerry is the world's leading taste and nutrition company for the food, beverage and pharmaceutical industries. Every day we partner with customers to create healthier, tastier and more sustainable products that are consumed by billions of people across the world. Our vision is to be our customers' most valued partner, creating a world of sustainable nutrition. A career with Kerry offers you an opportunity to shape the future of food while providing you opportunities to explore and grow in a truly global environment.<br><br><strong><strong>Key responsibilities<br><br></strong></strong><strong>Asset Reliability Strategy<br><br></strong><ul><li>Develop and implement site reliability strategies aligned with business objectives.</li><li>Establish asset criticality assessments and risk-based maintenance programs.</li><li>Define long-term asset lifecycle and replacement plans.</li><li>Support capital projects with Design for Reliability (DfR) and Design for Maintainability (DfM) principles.</li><li>Lead Reliability Centered Maintenance (RCM) studies for critical equipment.<br><br></li></ul><strong>Reliability Improvement Programs<br><br></strong><ul><li>Lead initiatives to improve equipment uptime, MTBF (Mean Time Between Failures), and OEE.</li><li>Identify chronic equipment losses and implement corrective actions.</li><li>Drive maintenance optimization projects to reduce reactive maintenance.</li><li>Develop reliability standards and best practices across manufacturing assets.</li><li>Benchmark plant performance against industry standards.<br><br></li></ul><strong>Predictive and Preventive Maintenance<br><br></strong><ul><li>Develop and optimize preventive maintenance (PM) programs.</li><li>Implement predictive maintenance technologies including</li><ul><li>Vibration Analysis</li><li>Infrared Thermography</li><li>Oil Analysis</li><li>Ultrasonic Testing</li><li>Motor Circuit Analysis</li></ul><li>Analyze condition monitoring data and recommend interventions before failures occur.</li><li>Continuously review PM effectiveness and optimize maintenance frequencies.<br></li></ul><strong>Root Cause Failure Analysis<br><br></strong><ul><li>Lead Root Cause Analysis (RCA) investigations for major equipment failures.</li><li>Utilize methodologies such as</li><ul><li>RCA</li><li>FMEA</li><li>FMECA</li><li>Fishbone Analysis</li><li>DMAIC</li><li>Weibull Analysis</li></ul><li>Develop and track corrective and preventive actions (CAPA).</li><li>Ensure lessons learned are documented and implemented plant-wide.<br></li></ul><strong>CMMS and Asset Management<br><br></strong><ul><li>Maintain asset hierarchy and master data integrity within SAP PM/CMMS.</li><li>Analyze maintenance history and work order data.</li><li>Develop reliability dashboards and KPIs.</li><li>Improve maintenance planning and scheduling processes.</li><li>Support spare parts optimization and critical spares management.<br><br></li></ul><strong>Data Analysis and Performance Monitoring<br><br></strong><ul><li>Monitor and report key reliability metrics including</li><ul><li>OEE</li><li>MTBF</li><li>MTTR</li><li>PM Compliance</li><li>Planned vs. Unplanned Maintenance</li><li>Maintenance Cost per Unit</li></ul><li>Identify trends and improvement opportunities through statistical analysis.</li><li>Present reliability performance reports to site leadership.<br></li></ul><strong>Food Safety, Quality and Compliance<br><br></strong><ul><li>Ensure reliability programs support GMP, HACCP, SQF, BRC, and food safety requirements.</li><li>Participate in food safety and quality audits.</li><li>Ensure maintenance activities comply with regulatory and site standards.</li><li>Support risk assessments related to equipment and process reliability.<br><br></li></ul><strong>Other Responsibilities May Include<br><br></strong><strong>Capital Projects and New Equipment<br><br></strong><ul><li>Participate in equipment selection and factory acceptance testing (FAT).</li><li>Review designs to ensure reliability and maintainability.</li><li>Support commissioning, startup, and performance validation.</li><li>Establish maintenance strategies and spare parts requirements for new assets.</li><li>Develop asset care plans before project handover.</li><li>Continuous Improvement</li><li>Lead Lean Manufacturing and TPM reliability initiatives.</li><li>Eliminate recurring failures and maintenance waste.</li><li>Support operational excellence programs.</li><li>Facilitate cross-functional improvement workshops.<br><br></li></ul><strong>Coaching and Technical Leadership<br><br></strong><ul><li>Act as the site's reliability subject matter expert.</li><li>Train maintenance technicians, supervisors, and planners on reliability tools and methodologies.</li><li>Mentor junior engineers and reliability personnel.</li><li>Build reliability capability across maintenance and operations teams.</li><li>Promote a proactive maintenance culture.<br><br></li></ul><strong><strong>Key Performance Indicators (KPIs)<br><br></strong></strong><ul><li>OEE Improvement</li><li>MTBF Increase</li><li>MTTR Reduction</li><li>Planned Maintenance Percentage</li><li>PM Compliance &gt;95%</li><li>Predictive Maintenance Compliance</li><li>Maintenance Cost Reduction</li><li>Downtime Reduction</li><li>Critical Asset Availability</li><li>RCA Closure Effectiveness</li><li>Spare Parts Inventory Optimization</li><li>Food Safety Audit Compliance<br><br></li></ul><strong>Qualifications And Skills<br><br></strong><ul><li>Bachelor's Degree in Mechanical, Electrical, Mechatronics, Industrial Engineering, or related discipline</li><li>5+ years of experience in maintenance, reliability, asset care, or manufacturing engineering roles, preferably in a food or pharmaceutical manufacturing environment.</li><li>Strong knowledge of Preventive Maintenance (PM), Predictive Maintenance (PdM), and Reliability Engineering principles</li><li>Proven ability to develop and implement maintenance strategies and reliability improvement programs that reduce downtime and improve equipment performance.</li><li>Experience with CMMS systems, preferably SAP PM, including maintenance planning, scheduling, and performance tracking.</li><li>Strong analytical and problem-solving skills, including Root Cause Analysis (RCA), FMEA, and data-driven decision-making.</li><li>Excellent leadership and change management capabilities, with the ability to drive a proactive maintenance culture and influence cross-functional teams.</li><li>Effective communication and presentation skills, capable of engaging frontline teams and senior leadership.</li><li>Demonstrated ability to lead continuous improvement initiatives, establish KPIs, and improve equipment reliability, availability, and utilization</li><li>Potential and aspiration to progress into a Maintenance Manager role, with the ability to lead teams, manage budgets, develop people, and contribute to long-term maintenance strategy<br><br></li></ul>Beware of scams online or from individuals claiming to represent us. A Kerry employee will not solicit candidates through a non-Kerry email address or phone number. In addition, Kerry does not currently utilise video chat rooms (e.g., Google Hangouts) to conduct interviews. Refuse any request that asks you to provide payment to participate in the hiring process (e.g., purchasing a “starter kit,” investing in training, or something similar). Kerry will not ask you to pay any money at any point in the hiring process with the exception of reimbursable travel expenses. In addition, any payments made by Kerry will be from official firm accounts bearing the Kerry name.<br><br><strong>Recruiter<br><br></strong><strong>Posting Type</strong> LI<br><br>

<strong>Requisition ID 66514<br><br>Position Type FT Permanent<br><br>Workplace Arrangement <br><br></strong><strong>About Kerry<br><br></strong>Kerry is the world's leading taste and nutrition company for the food, beverage and pharmaceutical industries. Every day we partner with customers to create healthier, tastier and more sustainable products that are consumed by billions of people across the world. Our vision is to be our customers' most valued partner, creating a world of sustainable nutrition. A career with Kerry offers you an opportunity to shape the future of food while providing you opportunities to explore and grow in a truly global environment.<br><br><strong>Key responsibilities<br><br></strong><strong>Asset Reliability Strategy<br><br></strong><ul><li>Develop and implement site reliability strategies aligned with business objectives.</li><li>Establish asset criticality assessments and risk-based maintenance programs.</li><li>Define long-term asset lifecycle and replacement plans.</li><li>Support capital projects with Design for Reliability (DfR) and Design for Maintainability (DfM) principles.</li><li>Lead Reliability Centered Maintenance (RCM) studies for critical equipment.<br><br></li></ul><strong>Reliability Improvement Programs<br><br></strong><ul><li>Lead initiatives to improve equipment uptime, MTBF (Mean Time Between Failures), and OEE.</li><li>Identify chronic equipment losses and implement corrective actions.</li><li>Drive maintenance optimization projects to reduce reactive maintenance.</li><li>Develop reliability standards and best practices across manufacturing assets.</li><li>Benchmark plant performance against industry standards.<br><br></li></ul><strong>Predictive and Preventive Maintenance<br><br></strong><ul><li>Develop and optimize preventive maintenance (PM) programs.</li><li>Implement predictive maintenance technologies including</li><ul><li>Vibration Analysis</li><li>Infrared Thermography</li><li>Oil Analysis</li><li>Ultrasonic Testing</li><li>Motor Circuit Analysis</li></ul><li>Analyze condition monitoring data and recommend interventions before failures occur.</li><li>Continuously review PM effectiveness and optimize maintenance frequencies.<br></li></ul><strong>Root Cause Failure Analysis<br><br></strong><ul><li>Lead Root Cause Analysis (RCA) investigations for major equipment failures.</li><li>Utilize methodologies such as</li><ul><li>RCA</li><li>FMEA</li><li>FMECA</li><li>Fishbone Analysis</li><li>DMAIC</li><li>Weibull Analysis</li></ul><li>Develop and track corrective and preventive actions (CAPA).</li><li>Ensure lessons learned are documented and implemented plant-wide.<br></li></ul><strong>CMMS and Asset Management<br><br></strong><ul><li>Maintain asset hierarchy and master data integrity within SAP PM/CMMS.</li><li>Analyze maintenance history and work order data.</li><li>Develop reliability dashboards and KPIs.</li><li>Improve maintenance planning and scheduling processes.</li><li>Support spare parts optimization and critical spares management.<br><br></li></ul><strong>Data Analysis and Performance Monitoring<br><br></strong><ul><li>Monitor and report key reliability metrics including</li><ul><li>OEE</li><li>MTBF</li><li>MTTR</li><li>PM Compliance</li><li>Planned vs. Unplanned Maintenance</li><li>Maintenance Cost per Unit</li></ul><li>Identify trends and improvement opportunities through statistical analysis.</li><li>Present reliability performance reports to site leadership.<br></li></ul><strong>Food Safety, Quality and Compliance<br><br></strong><ul><li>Ensure reliability programs support GMP, HACCP, SQF, BRC, and food safety requirements.</li><li>Participate in food safety and quality audits.</li><li>Ensure maintenance activities comply with regulatory and site standards.</li><li>Support risk assessments related to equipment and process reliability.<br><br></li></ul><em><strong>Other Responsibilities may include<br><br></strong></em><strong>Capital Projects and New Equipment<br><br></strong><ul><li>Participate in equipment selection and factory acceptance testing (FAT).</li><li>Review designs to ensure reliability and maintainability.</li><li>Support commissioning, startup, and performance validation.</li><li>Establish maintenance strategies and spare parts requirements for new assets.</li><li>Develop asset care plans before project handover.</li><li>Continuous Improvement</li><li>Lead Lean Manufacturing and TPM reliability initiatives.</li><li>Eliminate recurring failures and maintenance waste.</li><li>Support operational excellence programs.</li><li>Facilitate cross-functional improvement workshops.<br><br></li></ul><strong>Coaching and Technical Leadership<br><br></strong><ul><li>Act as the site's reliability subject matter expert.</li><li>Train maintenance technicians, supervisors, and planners on reliability tools and methodologies.</li><li>Mentor junior engineers and reliability personnel.</li><li>Build reliability capability across maintenance and operations teams.</li><li>Promote a proactive maintenance culture.<br><br></li></ul><strong>Key Performance Indicators (KPIs)<br><br></strong><ul><li>OEE Improvement</li><li>MTBF Increase</li><li>MTTR Reduction</li><li>Planned Maintenance Percentage</li><li>PM Compliance &gt;95%</li><li>Predictive Maintenance Compliance</li><li>Maintenance Cost Reduction</li><li>Downtime Reduction</li><li>Critical Asset Availability</li><li>RCA Closure Effectiveness</li><li>Spare Parts Inventory Optimization</li><li>Food Safety Audit Compliance<br><br></li></ul><strong>Qualifications and skills<br><br></strong><ul><li>Bachelor's Degree in Mechanical, Electrical, Mechatronics, Industrial Engineering, or related discipline</li><li>5+ years of experience in maintenance, reliability, asset care, or manufacturing engineering roles, preferably in a food or pharmaceutical manufacturing environment.</li><li>Strong knowledge of Preventive Maintenance (PM), Predictive Maintenance (PdM), and Reliability Engineering principles</li><li>Proven ability to develop and implement maintenance strategies and reliability improvement programs that reduce downtime and improve equipment performance.</li><li>Experience with CMMS systems, preferably SAP PM, including maintenance planning, scheduling, and performance tracking.</li><li>Strong analytical and problem-solving skills, including Root Cause Analysis (RCA), FMEA, and data-driven decision-making.</li><li>Excellent leadership and change management capabilities, with the ability to drive a proactive maintenance culture and influence cross-functional teams.</li><li>Effective communication and presentation skills, capable of engaging frontline teams and senior leadership.</li><li>Demonstrated ability to lead continuous improvement initiatives, establish KPIs, and improve equipment reliability, availability, and utilization</li><li>Potential and aspiration to progress into a Maintenance Manager role, with the ability to lead teams, manage budgets, develop people, and contribute to long-term maintenance strategy<br><br></li></ul>Beware of scams online or from individuals claiming to represent us. A Kerry employee will not solicit candidates through a non-Kerry email address or phone number. In addition, Kerry does not currently utilise video chat rooms (e.g., Google Hangouts) to conduct interviews. Refuse any request that asks you to provide payment to participate in the hiring process (e.g., purchasing a “starter kit,” investing in training, or something similar). Kerry will not ask you to pay any money at any point in the hiring process with the exception of reimbursable travel expenses. In addition, any payments made by Kerry will be from official firm accounts bearing the Kerry name.<br><br><strong>Recruiter<br><br></strong><strong>Posting Type</strong> LI<br><br>

<p><strong>Department: </strong>Enabling Technology</p><p><strong>Location:</strong> Egypt, Cairo.</p><p><br></p><p>We are looking for a highly skilled <strong>Senior ARC RBAC Engineer</strong> with strong expertise in IAM/CIAM, authorization design, and access governance to help drive secure digital transformation initiatives. In this role, you will work on designing and implementing robust RBAC/ABAC authorization models, integrating applications with IAM systems, ensuring compliance with least privilege and segregation of duties principles, and collaborating with cross-functional teams in an agile environment.</p><p><br></p><p><strong>YOUR KEY RESPONSIBILITIES:</strong></p><p><strong>Empowers</strong></p><p>• Makes sound technical decisions within RBAC/authorizations scope; escalates risks and proposes mitigations</p><p><strong>Thinks Customers</strong></p><p>• Contributes to design discussions, analyzes needs, and proposes practical authorization solutions that enable simpler business processes.</p><p><strong>Fosters Agility</strong></p><p>• Find untapped opportunities and enable new efficiencies through information technology and improvements in policies and procedures and automation.</p><p>• Manages exceptions effectively</p><p><strong>Collaborates</strong></p><p>• Very effective in communication and establishing good relationship with all stakeholders, building trust and respect for the team as a function.</p><p><strong>Builds Talent</strong></p><p>• Actively develops own expertise through continuous learning, staying current with IAM/CIAM and authorization practices, and applying new skills to improve delivery quality.</p><p><strong>Drives Impact</strong></p><p>• Proposes and implements automation of processes and activities leading to cost reduction and improved controls.</p><p>• Improves user experience with working with the systems and processes.</p><p>• Ensure reliable operation of business-critical services by meeting agreed SLAs, optimizing performance and availability, and driving rapid incident resolution with a strong focus on incident &amp; ticket volume reduction and MTTR reduction</p><p>• Monitor, troubleshoot, and continuously improve production systems, leveraging operational insights, automation, and root cause analysis to enhance service stability, resilience, and user experience</p><p><br></p><p><strong>ARE THESE YOUR SECRET INGREDIENTS?</strong></p><p>• University degree in Information Technology Accounting, Finance, Economics or other relevant</p><p>• Minimum of 3 years of experience in identity and access management domains.</p><p>• Minimum of 3 years of experience in SAP RBAC design and implementation</p><p>• Experience with Omada and SAP applications advantage.</p><p>• Authorization modeling and implementation experience (RBAC/ABAC/PBAC)</p><p>• Strong analytical skills and ability to independently drive complex tasks to resolution in collaboration with stakeholders.</p><p>• Familiarity with ITGC (IT General Controls), audit requirements (e.g., SOX compliance) and PAM.</p><p>• Knowledge of SAP security architecture, including user provisioning, SOD (Segregation of Duties), and audit controls</p><p>• An unwavering desire to follow and enforce policies</p><p>• High integrity and team player</p><p>• Open and adaptable to different cultures and personalities</p><p>• Fluent in written and verbal English</p><p><br></p><p><strong>ABOUT YOUR NEW TEAM:</strong></p><p>We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.</p><p>We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.</p><p>We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don’t have the perfect experience. We have faith in what every person can be.</p><p>And although we have so much to be proud of, we always stay humble. We believe the real magic happens – for us and for you – when we OPEN UP.</p><p><br></p><p><strong>AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE</strong></p><p>At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.</p>

<p>We are seeking a highly motivated and experienced AI/ML Developer Level II to join our dynamic</p><p>team. In this role, you will be a key contributor to the design, development, and deployment of</p><p>sophisticated conversational AI systems, primarily using the RASA framework. Your deep</p><p>expertise in Python, coupled with hands-on experience in the Google Cloud Platform (GCP)</p><p>ecosystem, will be essential for building, scaling, and maintaining robust, enterprise-grade virtual</p><p>assistants and chatbots. You will move beyond prototyping to take ownership of components,</p><p>optimize model performance, and ensure the reliability of our AI solutions in production.</p><p><br></p><p><strong><u>Key Responsibilities</u></strong></p><p>(Must-have)</p><ul><li>RASA Framework Development: Design, build, and maintain advanced conversational AI agents using the RASA Open Source and/or RASA X/Pro platforms. This includes developing complex dialogue management with stories and rules, configuring the NLU pipeline, and creating custom actions.</li><li>Model Training &amp; Optimization: Train, evaluate, and fine-tune RASA NLU and dialogue models. Implement strategies for continuous improvement using conversation analytics and user feedback to enhance intent classification, entity recognition, and response quality.</li><li>Python-Centric Solutioning: Write clean, eƯicient, and well-documented Python code for custom actions, policies, and integrations. Develop scalable backend services and APIs to connect RASA agents with other business systems.</li><li>Google Cloud Platform (GCP) Integration &amp; Deployment: Architect, deploy, and manage RASA bots on GCP (using Google Kubernetes Engine - GKE, Pub/Sub for messaging, Cloud Run, or Compute Engine). Utilize GCP services like Vertex AI and Dialogflow CX for complementary use-cases or hybrid architectures, and Cloud Speech-to-Text / Text-to-Speech for voice-enabled bots<strong>.</strong></li></ul><p><br></p><p><strong><u>Nice-to-have:</u></strong></p><ul><li>CI/CD &amp; MLOps: Implement and maintain CI/CD pipelines for automated testing, building, and deployment of RASA models using tools like Git. Champion MLOps best practices for versioning, monitoring, and retraining models.</li><li>Data Management: Leverage Google BigQuery for analyzing conversation logs and deriving insights. Use Cloud Storage for managing training data and model artifacts.</li></ul><p><br></p><p><strong><u>Required Qualifications:</u></strong></p><ul><li>Education: Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.</li><li>Experience: 3+ years of professional experience in AI/ML development, with at least 2 years of hands-on, in-depth experience building and deploying production-level chatbots with the RASA framework.</li><li>Programming: Strong proficiency in Python, with a solid understanding of software engineering principles, design patterns, and API development.</li><li>Google Cloud Platform: Proven, hands-on experience with core GCP services, including: Compute: Google Kubernetes Engine (GKE), Cloud Run, or App Engine.</li><li>AI/ML Services: Practical knowledge of Dialogflow and/or Cloud Natural Language API.</li><li>Infrastructure: Cloud Storage, Cloud Build, IAM, and VPC networking.</li><li>Machine Learning Fundamentals: Solid understanding of NLP fundamentals (intent detection, entity extraction, context management) and practical experience with machine learning libraries (e.g., scikit-learn, spaCy, Transformers).</li><li>Version Control &amp; Collaboration: High proficiency with Git in a collaborative team environment.</li></ul><p><br></p><p><strong><u>Soft Skills &amp; Other Requirements:</u></strong></p><ul><li>Problem-Solving: Excellent analytical and problem-solving skills with the ability to troubleshoot complex technical issues in distributed systems.</li><li>Ownership &amp; Initiative: A proactive mindset with the ability to take ownership of projects from conception to deployment and beyond, working with minimal supervision.</li><li>Communication: Strong verbal and written communication skills. Ability to clearly articulate technical concepts to both technical and non-technical stakeholders.</li><li>Agile Methodology: Experience working in an Agile/Scrum development process.</li><li>Team Player: A collaborative attitude, with a willingness to mentor junior developers and share knowledge with the team.</li><li>Continuous Learning: A passion for staying up-to-date with the rapidly evolving fields of Conversational AI, MLOps, and cloud technologies.</li></ul><p><br></p><p>Preferred Qualifications (Bonus):</p><ul><li>GCP Professional Machine Learning Engineer or other GCP certifications.</li><li>Experience with containerization technologies (Docker) and orchestration (Kubernetes).</li><li>Knowledge of infrastructure-as-code tools like Terraform.</li></ul>

<p>We are seeking a highly motivated and experienced AI/ML Developer Level II to join our dynamic</p><p>team. In this role, you will be a key contributor to the design, development, and deployment of</p><p>sophisticated conversational AI systems, primarily using the RASA framework. Your deep</p><p>expertise in Python, coupled with hands-on experience in the Google Cloud Platform (GCP)</p><p>ecosystem, will be essential for building, scaling, and maintaining robust, enterprise-grade virtual</p><p>assistants and chatbots. You will move beyond prototyping to take ownership of components,</p><p>optimize model performance, and ensure the reliability of our AI solutions in production.</p><p><br></p><p><strong><u>Key Responsibilities:</u></strong></p><p>(Must-have)</p><ul><li>RASA Framework Development: Design, build, and maintain advanced conversational AI</li></ul><p>agents using the RASA Open Source and/or RASA X/Pro platforms. This includes developing complex dialogue management with stories and rules, configuring the NLU pipeline, and creating custom actions.</p><ul><li>Model Training &amp; Optimization: Train, evaluate, and fine-tune RASA NLU and dialogue</li></ul><p>models. Implement strategies for continuous improvement using conversation analytics</p><p>and user feedback to enhance intent classification, entity recognition, and response quality.</p><ul><li>Python-Centric Solutioning: Write clean, eƯicient, and well-documented Python code for</li></ul><p>custom actions, policies, and integrations. Develop scalable backend services and APIs to connect RASA agents with other business systems.</p><ul><li>Google Cloud Platform (GCP) Integration &amp; Deployment: Architect, deploy, and manage</li></ul><p>RASA bots on GCP (using Google Kubernetes Engine - GKE, Pub/Sub for messaging, Cloud</p><p>Run, or Compute Engine). Utilize GCP services like Vertex AI and Dialogflow CX for complementary use-cases or hybrid architectures, and Cloud Speech-to-Text / Text-to-Speech for voice-enabled bots.</p><p><br></p><p><strong>Nice-to-have:</strong></p><ul><li>CI/CD &amp; MLOps: Implement and maintain CI/CD pipelines for automated testing, building,</li></ul><p>and deployment of RASA models using tools like Git. Champion MLOps best practices for</p><p>versioning, monitoring, and retraining models.</p><ul><li>Data Management: Leverage Google BigQuery for analyzing conversation logs and</li></ul><p>deriving insights. Use Cloud Storage for managing training data and model artifacts.</p><p><br></p><p><strong><u>Required Qualifications:</u></strong></p><ul><li>Education: Bachelor’s degree in Computer Science, Engineering, Data Science, or a</li></ul><p>related field, or equivalent practical experience.</p><ul><li>Experience: 3+ years of professional experience in AI/ML development, with at least 2</li></ul><p>years of hands-on, in-depth experience building and deploying production-level chatbots</p><p>with the RASA framework.</p><ul><li>Programming: Strong proficiency in Python, with a solid understanding of software</li></ul><p>engineering principles, design patterns, and API development.</p><ul><li>Google Cloud Platform: Proven, hands-on experience with core GCP services, including:</li><li>Compute: Google Kubernetes Engine (GKE), Cloud Run, or App Engine.</li><li>AI/ML Services: Practical knowledge of Dialogflow and/or Cloud Natural Language API.</li><li>Infrastructure: Cloud Storage, Cloud Build, IAM, and VPC networking.</li><li>Machine Learning Fundamentals: Solid understanding of NLP fundamentals (intent</li></ul><p>detection, entity extraction, context management) and practical experience with machine</p><p>learning libraries (e.g., scikit-learn, spaCy, Transformers).</p><ul><li>Version Control &amp; Collaboration: High proficiency with Git in a collaborative team environment.</li></ul><p><br></p><p><strong><u>Soft Skills &amp; Other Requirements:</u></strong></p><ul><li>Problem-Solving: Excellent analytical and problem-solving skills with the ability to</li></ul><p>troubleshoot complex technical issues in distributed systems.</p><ul><li>Ownership &amp; Initiative: A proactive mindset with the ability to take ownership of projects</li></ul><p>from conception to deployment and beyond, working with minimal supervision.</p><ul><li>Communication: Strong verbal and written communication skills. Ability to clearly</li></ul><p>articulate technical concepts to both technical and non-technical stakeholders.</p><ul><li>Agile Methodology: Experience working in an Agile/Scrum development process.</li><li>Team Player: A collaborative attitude, with a willingness to mentor junior developers and</li></ul><p>share knowledge with the team.</p><ul><li>Continuous Learning: A passion for staying up-to-date with the rapidly evolving fields of</li><li>Conversational AI, MLOps, and cloud technologies.</li></ul><p><br></p><p>Preferred Qualifications (Bonus):</p><ul><li>GCP Professional Machine Learning Engineer or other GCP certifications.</li><li>Experience with containerization technologies (Docker) and orchestration (Kubernetes).</li><li>Knowledge of infrastructure-as-code tools like Terraform.</li></ul>

<div> <div> <b>Who we are</b> </div> <div> <p>VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology &amp; Transformation. <br>As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability. <br>We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal. <br>#VOIS #BeUnrivalled #CreateTheFuture</p> </div> </div> <div> <div> <b>About this Role</b> </div> <div> <div>We are seeking an experienced Senior Automation Software Engineer to help shape the future of software-defined transport and transmission networks. In this role, you will design, develop, test and integrate automation solutions and SDN controller capabilities that enhance programmability across Vodafone s network infrastructure. You will work within a global, agile environment, collaborating with technology specialists to deliver innovative automation use cases, define architecture standards, and support the adoption of emerging technologies across Vodafone markets and Group functions.</div> </div> </div> <div> <div> <b>What you ll do</b> </div> <div> <ul> <li>Develop software solutions for network technologies and interfaces connected to Software Defined Networking (SDN) controllers.</li> <li>Design, implement, test and document automation use cases within multi-vendor network environments.</li> <li>Develop and maintain testing procedures for SDN controllers integrated across the end-to-end SDN technology stack and laboratory environments.</li> <li>Define architectures, interfaces and protocols required to integrate SDN controllers into transport network automation solutions.</li> <li>Support the analysis, testing and implementation of new technologies across Vodafone markets and Group-managed networks.</li> <li>Participate in agile delivery teams to build scalable and reliable automation products and services.</li> <li>Contribute to product roadmaps, backlogs and automation strategies.</li> <li>Collaborate with technology leads to define development frameworks, programming languages and solution architectures.</li> <li>Identify emerging technologies and vendor capabilities that support innovation and network evolution.</li> <li>Contribute to transport network strategy by supporting technical assessments and cost-benefit evaluations.</li> <li>Drive continuous improvement in software development processes and engineering practices.</li> <li>Apply modern software engineering principles, including documentation, code quality standards and maintainable application design.</li> </ul> </div> </div> <div> <div> <b>Who you are</b> </div> <div> <div> Essential Qualifications, Knowledge and Experience <ul> <li>Minimum 5 years of software development experience, including development of microservices using Python and Flask and/or Django.</li> <li>Minimum 3 years of experience working with network technologies, including exposure to Software Defined Networking (SDN).</li> <li>Strong understanding of SDN-related technologies and protocols, including REST APIs, RESTCONF, NETCONF and YANG data models.</li> <li>Experience in API automation testing and automated testing frameworks such as pytest, unittest or equivalent approaches.</li> <li>Strong knowledge of software engineering best practices, including object-oriented programming, code quality, linting and technical documentation.</li> <li>Experience working within agile delivery methodologies.</li> <li>Understanding of CI/CD pipelines and version control systems.</li> <li>Professional IP networking certification such as CCIE or an equivalent qualification.</li> </ul> Preferred Competencies <ul> <li>Collaborative team player with a strong partnership mindset.</li> <li>Self-motivated and proactive, with a practical approach to problem solving.</li> <li>Strong verbal and written communication skills.</li> <li>Ability to work effectively in diverse and international environments.</li> <li>Adaptability and resilience when working on complex technical challenges.</li> </ul> Desirable Qualifications and Experience <ul> <li>Knowledge of transport IP protocols and technologies such as BGP, Segment Routing and PCEP within multi-vendor environments including Nokia, Juniper and Cisco.</li> <li>Understanding of networking and optical transmission technologies such as DWDM and OTN across vendors including Nokia, Huawei and Ciena.</li> <li>Experience with containerisation and orchestration technologies including Docker and Kubernetes.</li> <li>Exposure to cloud-native architectures and cloud platforms.</li> </ul> </div> </div> </div> <div> <div><br></div></div><div><div><ul> </ul> </div> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><em><strong>This role is open to candidates based in LATAM, Africa, and Eastern Europe. Please note that as this role supports U.S.-based clients, candidates must be available to work during U.S. business hours aligned with the client’s time zone.</strong></em></p><br><strong>Why this role exists</strong><p>Every pod engagement we sell is sold against a document: the 90-day technical roadmap — validated opportunities inside the client’s business, sized, sequenced, and mapped to the three-person team that will build them. That document has to survive three audiences with conflicting incentives: a client executive who must want to buy it, an internal margin-and-feasibility review that rejects anything low-margin or unbuildable, and a delivery team that will live inside it for ninety days. Today one of our founders writes those roadmaps. You take that over.</p><br><p>You are the technical half of the sales motion. During the paid Leadership Intensive, you are the facilitator’s technical counterpart: you go inside the client’s systems and data while they run the room, and you make five executives’ live first builds actually work. Then you go away and produce the roadmap that converts a paid diagnostic engagement into a monthly embedded pod. You are pre-sales in the sense that you work before the pod contract — but everything you produce is a delivery commitment someone else must keep, and you are measured on whether they can.</p><br><strong>What you will own</strong><strong>1. Technical discovery inside client environments</strong><ul><li><p>Map an unfamiliar mid-market stack fast: CRM, ERP, finance tools, home-grown spreadsheets, the undocumented automation graveyard — in days, with limited access, without breaking anything or spooking IT.</p><br></li><li><p>Run the deep-dive protocol during the Intensive’s first session: while the facilitator drives the executives, you drive the systems — screen-share walkthroughs, data-structure probing, integration surface mapping. You are listening for what is automatable, what data actually exists (versus what they claim exists), and where the political landmines are.</p><br></li><li><p>Own the data-collection instruments: the interview guide, the screen-share protocol, the process inventory. A dozen interviews with the people who do the work happen inside every Intensive; you design what gets asked and you synthesize what comes back.</p><br></li><li><p>Operate safely in regulated or sensitive contexts: know when to demand a de-identified export or a synthetic dataset instead of production access, and never let enthusiasm outrun the client’s data rules.</p><br></li></ul><strong>2. The live build sessions — making executives ship</strong><ul><li><p>Pre-build the scaffolding: before the hands-on session, you prepare each executive’s use case so that a non-technical leader can get a clickable first version working in under an hour — data samples loaded, tools configured, the failure modes pre-empted.</p><br></li><li><p>Rescue in real time: something always breaks with five simultaneous first-time builders. You debug live, quietly, without ever making the executive feel stupid — the room’s belief is the product.</p><br></li><li><p>Calibrate honestly in the demos: when an executive’s build is a toy, you frame precisely what the gap to real is — because that gap is what the roadmap sells, and overselling it is a delivery debt with an engineer’s name on it.</p><br></li></ul><strong>3. The 90-day technical roadmap — your flagship artifact</strong><ul><li><p>Author it end to end: from the Intensive’s findings, produce the roadmap — the chosen outcomes (drawing on our catalog of proven, deliverable outcome patterns), honest effort sizing, sequencing across the ninety days, data prerequisites, and the team composition that delivers it.</p><br></li><li><p>Design to the delivery model: every roadmap must respect our standard structure — roughly half the team’s hours go to the foundation layer we build for every client, half to this client’s specific outcomes. A roadmap that needs 80% custom work is a rebuild, not a plan.</p><br></li><li><p>Consult the delivery engineers on buildability before anything is presented: they will live inside your plan; their veto on feasibility is real.</p><br></li><li><p>Pass the internal review: every roadmap goes through a feasibility-and-margin gate. Your scoping honesty is the whole game — a roadmap that closes the deal and blows the margin is a failure with a delay on it.</p><br></li><li><p>Arm the presentation: you do not present the roadmap to the client (the facilitator and delivery engineer do), so it must sell without you in the room — written clearly enough that a US executive reads it and sees their business, not our template.</p><br></li></ul><strong>4. Prototypes, the library, and the diagnosis system</strong><ul><li><p>Build fast proofs-of-concept on client data when a working demo will close a gap that a slide cannot — typically hours of work, not days, using AI tooling aggressively.</p><br></li><li><p>Maintain the opportunity library: every engagement teaches us new reusable patterns (symptom → opportunity → typical build → typical effort). You keep that library current so diagnoses and roadmaps get faster and more consistent every month.</p><br></li><li><p>Feed the diagnosis system: the AI system that drafts our free diagnoses runs on schemas and knowledge you help maintain. When it gets a client’s stack wrong, you are one of the people who fixes why.</p><br></li><li><p>Support engineering hiring: observe and co-score live technical assessments; your read on "can this person scope?" shapes who joins the delivery bench.</p><br></li></ul><strong>What a typical week looks like</strong><p>Two Intensive sessions supported live (a deep dive on one account, a build session on another), a half-day of preparation per session, one roadmap in active authorship and one in internal review, a prototype sprint of a few hours where a demo is worth more than a document, the weekly feasibility review, and an hour folding what you learned into the opportunity library. Roughly half your calendar is client-facing or preparing to be; the other half is authorship and system-building. Deadlines cluster: a roadmap is due roughly ten days after every Intensive ends, and Intensives overlap.</p><br><strong>What you must bring </strong><ul><li><p><strong>Client-facing engineering: </strong>4+ years as a solutions engineer, sales engineer, technical consultant, or full-stack engineer in roles where you regularly sat with non-technical clients — discovery, demos, workshops — and where deals or projects turned on your credibility. Pure back-office engineering, however strong, does not prepare you for a room of executives watching you type.</p><br></li><li><p><strong>Hands-on AI build depth: </strong>you have shipped real things with LLM APIs, agent frameworks, retrieval pipelines, and workflow automation — and you can show them. Public GitHub repos or live products are strongly preferred and will be reviewed commit by commit. You know when a given approach is wrong, when an agent is over-engineering, and when the answer is a spreadsheet formula and an honest conversation.</p><br></li><li><p><strong>Stack archaeology: </strong>demonstrated ability to walk into an unfamiliar business systems landscape and map it in days — you can read a CRM schema, reverse-engineer a spreadsheet-driven process, and interrogate an API you have never seen. Mid-market messiness (a CRM, an accounting tool, and forty Google Sheets) should feel like home terrain, not a horror story.</p><br></li><li><p><strong>Estimation honesty: </strong>a track record of scoping work that came in roughly as promised, and at least one story of a scope you refused or cut down — with what it cost you socially and why you did it anyway. We will ask for exactly this story.</p><br></li><li><p><strong>Writing that sells without you: </strong>your roadmaps are read by executives when you are not there. You write clearly, concretely, and in the client’s vocabulary — we will read something you wrote for a non-technical audience.</p><br></li><li><p><strong>English: </strong>full professional fluency, spoken and written. You run screen-shares and interviews with US teams; an accent is fine, unclear is not.</p><br></li></ul><strong>Strong pluses</strong><ul><li><p>Prior pre-sales at a services firm, dev shop, or systems integrator where you scoped fixed-price or outcome-based work — you have felt the pain of your own bad estimate being delivered.</p><br></li><li><p>Data engineering fluency: pipelines, warehouses, dashboards — the executive command-center is one of our most-requested outcomes.</p><br></li><li><p>Experience with the executive-facing side of security and compliance: answering "where does our data go?" precisely, working under data processing agreements, handling regulated-data engagements with synthetic data.</p><br></li><li><p>You have taught or mentored: internal enablement, bootcamps, or conference workshops — the Intensive is half classroom.</p><br></li><li><p>Spanish or Portuguese for internal collaboration.</p><br></li></ul><strong>This is not for you if</strong><ul><li><p>You want to build all day. This role is half authorship, facilitation, and judgment; the building you do is fast, disposable, and in service of a document.</p><br></li><li><p>You estimate optimistically to keep rooms happy. Every number you write becomes someone else’s ninety days.</p><br></li><li><p>You need clean, well-documented systems to be effective. Our clients’ stacks are duct tape; that is precisely why they pay us.</p><br></li><li><p>You are uncomfortable with commercial context — knowing the margin math, shaping scope to protect it, and treating a low-margin plan as a defect rather than someone else’s problem.</p><br></li></ul><strong>How We Will Measure You</strong><p>Your performance will be measured through a combination of quality, conversion, delivery accuracy, reliability, and continuous improvement:</p><br><ul><li><p><strong>Review Pass Rate:</strong> At least 80% of roadmaps should clear the internal feasibility and margin review on the first pass. Bounces indicate rework and potential deal delays.</p><br></li><li><p><strong>Roadmap Close Rate:</strong> At least 50% of presented roadmaps should convert into signed pod engagements, jointly with the presenting team. Your roadmap should give the team the clarity and ammunition needed to close the opportunity.</p><br></li><li><p><strong>Delivery Fidelity:</strong> Pods should achieve the outcomes scoped within ±20% of the effort estimated in the roadmap. This is the defining metric for the role and will be tracked per roadmap and reviewed quarterly.</p><br></li><li><p><strong>Session Reliability:</strong> Executive build sessions should be completed without an unrecovered technical stall. Recoveries are expected when issues arise; the goal is zero unrecovered stalls.</p><br></li><li><p><strong>Library Growth:</strong> Contribute reusable patterns, frameworks, and improvements to the diagnosis system on a monthly basis, with progress reflected in faster and more efficient roadmap turnaround over time.</p><br></li></ul><strong>Your first 90 days</strong><ul><li><p><strong>Days 1–30 — absorb: </strong>learn the outcome catalog, the opportunity library, the diagnosis system, and the delivery model (the core/custom split and the sub-three-week fast start) cold. Shadow a full Intensive; rebuild a past roadmap from its raw materials and defend it against the original in review.</p><br></li><li><p><strong>Days 31–60 — invert: </strong>support two Intensives live (you own the pre-builds and the rescues); author your first real roadmap with a founder reviewing; run your first client interview cycle solo.</p><br></li><li><p><strong>Days 61–90 — own: </strong>full ownership of the technical track on your accounts: discovery, build sessions, roadmap authorship through the internal review, with the delivery engineers consulted and no founder rewrite. Exit bar: a roadmap you authored has closed into a pod, and its first weeks of delivery are tracking your sizing.</p><br></li></ul><strong>Where this goes</strong><p>This business is planned to scale from its first pod to fifty within a year, and every pod starts life as a roadmap. The honest trajectory: first solutions engineer → owner of the solutioning standard and the internal review → lead of a solutions team, or a pivot into delivery leadership as the engagement-management layer builds out. The person who defines what a good roadmap is, this early, sets the delivery economics of the whole line.</p><br><p><strong>Scale Army</strong> is a staffing agency dedicated to connecting international talent with US-based companies. We cover a broad range of positions and industries, from customer support and sales roles to engineering and executive-level positions.</p><br><strong><u>Application Process:</u></strong>To be considered for this role these steps need to be followed:<ul><li><p>Fill in the application form</p><br></li><li><p>Record a video showcasing your skill sets</p><br></li></ul> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b>Position Overview</b></p><p>As the Technical Lead AI &amp; Machine Learning at Arrow Electronics, you will play a key role in delivering enterprise AI and machine learning solutions across intelligent products and internal automation platforms. Working under the direction of the AI leadership team, you will translate strategic AI initiatives into scalable, production-ready solutions while providing technical leadership to a team of AI engineers and data scientists. You will lead the implementation of advanced AI systems throughout the complete machine learning lifecycle, including data preparation, model development, experimentation, deployment, monitoring, and continuous optimization. Your expertise will span machine learning, deep learning, neural networks, generative AI, intelligent automation, and large language models. As the technical lead for project execution, you will collaborate closely with software engineering, product management, and data engineering teams to ensure AI solutions are delivered with high quality, scalability, and business impact while mentoring engineers and promoting engineering best practices.</p><p>Key Responsibilities</p><p>Technical Execution</p><ul><li>Lead the technical implementation of AI and machine learning initiatives aligned with the organization's AI strategy and roadmap.</li><li>Translate product and AI leadership vision into scalable technical solutions.</li><li>Drive engineering best practices, code quality, documentation, and software design across AI projects.</li><li>Collaborate with AI leadership, product managers, software engineers, and data engineers to successfully deliver AI-powered products.</li></ul><p>Machine Learning &amp; Deep Learning</p><ul><li>Design, develop, and optimize machine learning, deep learning, and neural network models for real-world business applications.</li><li>Build predictive models, recommendation systems, forecasting models, anomaly detection solutions, classification systems, and intelligent automation workflows.</li><li>Fine-tune transformer models and other deep learning architectures using modern training techniques.</li></ul><p>Generative AI &amp; Intelligent Systems</p><ul><li>Develop applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, semantic search, embeddings, and prompt engineering.</li><li>Build intelligent workflows integrating LLMs with enterprise systems, vector databases, and external tools.</li><li>Evaluate new AI technologies and recommend practical adoption opportunities.</li><li>Deploy and maintain AI models in production environments.</li></ul><p>Production AI &amp; MLOps</p><ul><li>Ensure AI systems are reliable, secure, efficient, and maintainable.</li></ul><p>Mentorship &amp; Innovation</p><ul><li>Mentor AI engineers and junior machine learning engineers through technical guidance, code reviews, and knowledge sharing.</li><li>Promote engineering excellence, continuous learning, and adoption of modern AI development practices.</li><li>Support technical interviews and onboarding of new team members.</li><li>Stay current with emerging developments in artificial intelligence, machine learning, deep learning, and generative AI.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>6+ years of experience developing and deploying production AI and machine learning solutions.</li><li>Demonstrated experience leading the technical implementation of AI/ML projects.</li><li>Strong proficiency in Python and data science libraries including NumPy, pandas, scikit-learn, and related tools.</li><li>Strong understanding of statistics, machine learning algorithms, feature engineering, and model evaluation.</li><li>Strong knowledge of neural networks, transformer architectures, and modern deep learning techniques.</li><li>Experience building applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and prompt engineering.</li><li>Experience with NLP, document intelligence, semantic search, embeddings, information extraction, and named entity recognition.</li><li>Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field is preferred.</li><li>Experience deploying AI services using cloud platforms and modern software engineering practices.</li><li>Familiarity with vector databases, search technologies, and MLOps practices.</li></ul><p></p></section>

Job Description|<br>Location: Nasr City, Cairo, Egypt Department: Group Human Resources Level: Director / Senior Leadership Reports to: Group HR Leadership<br>Role Overview We are looking for a highly strategic and transformation-driven HR Transformation & Organizational Development Director to lead the evolution of the Group’s HR function into a scalable, technology-enabled, data-driven, and high-performing organization.<br>The role will own the design and execution of the Group HR Transformation Roadmap, covering HR governance, organization design, workforce planning, HR operations, payroll, employee relations, talent acquisition, HR technology, and people analytics.<br>The successful candidate will combine strategic HR leadership, organizational design expertise, process transformation, digitalization, and strong change-management capabilities to create efficient HR operating models and measurable business impact across multiple Group companies.<br>Key Responsibilities:<br>1. HR Transformation & Governance Develop and lead the Group HR Transformation Roadmap, ensuring successful delivery of strategic transformation initiatives. Review and redesign HR policies, SOPs, workflows, and governance frameworks. Lead the digitalization and automation of HR processes across Group companies. Design and implement an effective HR Shared Services / HR Operating Model. Establish and monitor HR service-level agreements, governance standards, and operating KPIs. Drive consistency, standardization, and operational excellence across the Group.<br>2. Organization Design & Effectiveness Lead organization design initiatives to ensure structures are aligned with business strategy and growth plans. Review organizational structures, reporting lines, spans of control, layers, and decision-making authority. Drive headcount rationalization and workforce optimization initiatives while maintaining business effectiveness. Develop and maintain a robust job architecture and role-mapping framework. Identify opportunities to improve organizational efficiency, accountability, and productivity. Partner with senior leadership to assess organizational capability and future workforce requirements.<br>3. Workforce Planning & Talent Strategy Lead strategic workforce planning across the Group. Develop workforce models aligned with business plans, growth projections, and organizational priorities. Identify critical roles, talent risks, capability gaps, and succession requirements. Establish and drive succession planning and talent continuity frameworks for critical positions. Partner with business leaders to ensure the right talent, capabilities, and workforce structure are in place.<br>4. Payroll Transformation Lead the transformation and automation of the end-to-end payroll operating model. Drive payroll process standardization, automation, and integration with HR systems. Improve payroll accuracy, compliance, controls, and processing efficiency. Establish robust payroll governance, controls, reporting, and audit mechanisms. Identify and eliminate manual processes, duplication, and payroll-related operational risks.<br>5. HR Operations Transformation Lead the automation and optimization of Hire-to-Retire processes. Re-engineer HR processes to improve efficiency, employee experience, and service delivery. Drive adoption of Employee Self-Service (ESS) and digital HR solutions. Establish process ownership, SLAs, controls, and continuous improvement mechanisms. Identify opportunities to simplify and standardize HR operations across Group companies.<br>6. Employee Relations Transformation Transform Employee Relations into a structured, transparent, and data-driven function. Implement standardized ER case management and tracking mechanisms. Digitize employee relations workflows, documentation, approvals, and case reporting. Develop ER dashboards and analytics to identify trends, risks, recurring issues, and opportunities for intervention. Ensure appropriate governance, consistency, confidentiality, and compliance in ER processes.<br>7. Talent Acquisition Transformation Lead the transformation of recruitment processes from Manpower Request through Onboarding. Automate recruitment workflows, approvals, candidate tracking, and onboarding activities. Improve recruitment efficiency, candidate experience, and hiring governance. Drive initiatives to reduce Time-to-Hire and improve recruitment quality. Establish recruitment analytics and dashboards to monitor hiring performance and bottlenecks. Partner with Talent Acquisition leadership to standardize recruitment practices across Group companies.<br>8. HR Technology, Digitalization & Analytics Lead the strategic utilization and optimization of ZeTalents across all relevant HR modules. Ensure maximum adoption and integration of HR technology across the Group. Identify opportunities for automation, workflow optimization, and system integration. Develop executive HR dashboards and people analytics to support data-driven decision-making. Establish meaningful HR KPIs, workforce analytics, and management reporting. Translate HR data into actionable insights for executive leadership.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are looking for a Senior Presales Solutions Architect with deep, hands-on expertise across Huawei Cloud, AWS, Azure, and GCP, and a strong specialization in Disaster Recovery (DR) and multi-cloud/hybrid-cloud architecture design.<br> The role combines technical solution architecture with customer-facing presales activity: designing solutions, producing high-quality technical documentation and proposals, and delivering compelling presentations to clients, partners, and internal stakeholders Responsibilities Design end-to-end cloud architectures (current-state, target-state, and DR/multi-cloud) across Huawei Cloud, AWS, Azure, and GCP based on customer requirements.<br> Lead technical presales engagements: discovery workshops, solution design sessions, and proof-of-concept scoping.<br> Architect DR strategies (cross-region failover, active-active/active-passive, cold/warm/hot standby) spanning single-cloud and multi-cloud/hybrid scenarios.<br> Produce high-quality technical documentation: solution design documents (SDDs), architecture diagrams, RFP/RFI responses, and proposals.<br> Deliver clear, confident presentations to technical and executive audiences, including customer workshops and partner enablement sessions.<br> Partner with sales teams to translate business requirements into technical solutions and accurate pricing/BoQs.<br> Support vendor and partner relationship management (Huawei, AWS, Azure, GCP) for technical alignment, licensing, and co-sell opportunities.<br> Collaborate with delivery/engineering teams to ensure proposed designs are implementable and align with best practices.<br> Stay current on hyperscaler and Huawei Cloud service updates, pricing models, and competitive positioning.<br> Contribute to internal capability building: templates, reference architectures, and presales playbooks.<br> Own technical governance of proposed solutions, including security, compliance, and well-architected framework reviews, to ensure designs meet client risk and regulatory requirements.<br> Lead or support proof-of-concept (PoC) and pilot implementations to validate proposed architectures and de-risk full-scale delivery before contract signature.<br> Mentor and coach junior presales and solutions engineers on cloud architecture best practices, DR design methodology, and presales techniques.<br> Track and report presales pipeline metrics (win rates, solution reuse, common technical objections) to sales and delivery leadership to drive continuous improvement.<br> 8+ years in cloud infrastructure/architecture roles, including 3+ years in a presales, solutions architecture, or customer-facing technical role.<br> Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience).<br> Background Knowledge about Machine Learning and AI Strong working knowledge of at least 3 of the 4 platforms (Huawei Cloud, AWS, Azure, GCP), with working familiarity across all four.<br> Proven experience designing Disaster Recovery architectures (RTO/RPO-driven design, backup/replication strategies, failover automation).<br> Demonstrated experience with multi-cloud and hybrid-cloud architecture design and trade-off analysis.<br> Solid grounding in core infrastructure domains: networking (VPC/VNet design, NAT/SNAT/DNAT, VPN/ExpressRoute/Direct Connect equivalents), compute, storage, and IAM/security.<br> Familiarity with cost optimization and cloud pricing models (on-demand, reserved/savings plans) across providers.<br> Exposure to containers/Kubernetes and infrastructure-as-code is a plus.<br> Excellent verbal and written communication skills in English (Arabic is a plus).<br> Strong technical writing ability — proposals, SDDs, RFP responses that are clear, structured, and client-ready.<br> Confident, polished presentation skills for both technical and C-level audiences.<br> Strong stakeholder management skills across sales, delivery, and vendor/partner teams.<br> Ability to manage multiple concurrent opportunities under time pressure.<br> Hands-on experience with infrastructure-as-code tools (Terraform, ARM/Bicep, CloudFormation, or Huawei Cloud equivalents) for automating and templatizing multi-cloud deployments.<br> Working knowledge of cloud security and compliance frameworks (ISO 27001, NIST, CIS Benchmarks) as applied to solution design and client risk assessments.<br> Ability to build TCO/ROI models and business cases to support and justify solution recommendations to client stakeholders.<br> Certificates: - Huawei Cloud (HCIP/HCIE Cloud) or equivalent.<br> - AWS Certified Solutions Architect (Associate/Professional).<br> - Microsoft Certified: Azure Solutions Architect Expert.<br> - Google Cloud Professional Cloud Architect.<br></span> </div>

<p>Nass Tech provides advanced engineering solutions for various industries, ensuring optimal performance, efficiency, and sustainability since 2004. Nass Tech has a range of clients across industries as life sciences, FMCG, industries and energies. Our core is in black &amp; clean utilities, process fluid handling solutions, filtration solutions, and instrumentations &amp; control solutions. We are dedicated to deliver innovative solutions that meet the unique needs of each client, ensuring reliability and long-term success.</p><p><br></p><p>After the huge success in Egyptian market, Nass Tech now is in Saudi Arabia.</p><p>&nbsp;</p><p><strong>Responsibilities</strong></p><p><span>· Tender Documents Study: Scope of Work, BOQ, URS, Specifications &amp; Drawings. </span></p><p><span>· Prepare and revise the technical clarification sent to the client based on the Client's budget constraints for any specific project, carrying out Value engineering studies. </span></p><p><span>· Preparation of the Proposal Tender Files Technically.</span></p><p><span>· Direct and indirect cost Estimation based on Technical and Commercial cost assessment.</span></p><p><span>· Direct study and preparation of profit and loss report. Prepare technical offers or vendor list offers. </span></p><p><span>· Coordinate with the equipment in charge to prepare a list of equipment to be submitted with the tender documents.</span></p><p><strong>Qualifications</strong></p><ul><li>Bachelor's degree in Mechanical Engineering or equivalent Ability to read and understand designs and schematics</li></ul><p><span>· Bachelor's degree in mechanical engineering.</span></p><p><span>· Strong understanding of calculations &amp; mathematics for MEP.</span></p><p><span>· Experience from 1 to 2 years.</span></p><p><br></p>

<p><strong>Key Responsibilities</strong></p><p>&nbsp;</p><p><strong>Workshop Fabrication Inspection:</strong></p><ul><li><p>Perform dimensional, fit-up, and pre-weld inspections on structural and tanks fabrications.</p></li><li><p>Monitor welding activities to ensure full compliance with approved WPS and engineering drawings.</p></li><li><p>Identify non-conformances, issue Non-Conformance Reports (NCRs), and follow up on root-cause corrective actions.</p></li><li><p>Inspect raw materials and match them against mill test certificates (MTCs) upon delivery.</p></li></ul><p><strong>Site Operations &amp; Quality Control:</strong></p><ul><li><p>Conduct field inspections during installation, erection, and site assembly phases.</p></li><li><p>Coordinate and oversee third-party NDT inspections and witness mechanical/hydrostatic testing.</p></li><li><p>Identify non-conformances, issue Non-Conformance Reports (NCRs), and follow up on root-cause corrective actions.</p></li></ul><p><strong>Documentation &amp; Compliance:</strong></p><ul><li><p>Prepare daily inspection reports and Maintain Quality Control Dossiers (MDR).</p></li><li><p>Ensure adherence to project Quality Plans (ITP) and company HSE/QA guidelines.</p></li></ul><p></p><p><strong>Requirements</strong></p><p><strong>Experience:</strong></p><p>3 years of hands-on experience split between site construction and workshop fabrication/welding operations.</p><p><strong>Technical Skills &amp; Certifications:</strong></p><ul><li><p>Strong knowledge of welding inspection standards, codes, and specifications (e.g., AWS, ASME, EN).</p></li><li><p>Hands-on experience and certificates LII with Non-Destructive Testing (NDT) methods (VT, PT, MT, UT, RT evaluation).</p></li><li><p>Familiarity with Material Test Certificates (MTCs), Welding Procedure Specifications (WPS), and Procedure Qualification Records (PQR).</p></li></ul><p><strong>Qualifications</strong></p><p>Education: Bachelor’s degree in engineering from a recognized university (Specialization: Mechanical Production or Metallurgical Engineering).</p><p></p>