Machine operator Jobs

We are hiring a Senior Accountant to manage financial operations and ensure accurate accounting records within the tourism and travel industry. The role is responsible for overseeing accounts payable and receivable processes, maintaining the general ledger, preparing financial reports, and ensuring compliance with local tax regulations. You will support financial decision-making through accurate reporting, reconciliations, and analysis. This position plays a key role in maintaining financial accuracy, operational efficiency, and regulatory compliance. About us NOK Human Capital is a leading HR consulting and talent acquisition firm with a global footprint and a proven track record of supporting Fortune 500 clients. We specialize in connecting top-tier talent with industry leaders, driving innovation, and fostering high-performance cultures across the MENA region and beyond.<br><br><br>Key Responsibilities Manage Accounts Payable, Accounts Receivable, and General Ledger activities Perform bank reconciliations and ensure the accuracy of financial records Prepare monthly, quarterly, and annual financial reports and analyses Monitor cash flow and support the effective cash management process Handle supplier settlements, customer accounts, and tourism-related financial transactions Ensure compliance with Egyptian tax regulations, VAT, withholding tax, and financial reporting requirements Support tourism package costing and financial performance analysis Maintain accurate accounting records and coordinate with internal stakeholders on financial matters<br>Requirements Bachelor's degree in Accounting, Finance, or a related field Minimum 4–5 years of accounting experience within the Tourism and Travel industry Previous experience in a travel agency, tour operator, destination management company (DMC), airline, hospitality-related business, or similar environment Strong experience in Accounts Payable, Accounts Receivable, General Ledger, Bank Reconciliations, Financial Reporting, and Cash Management Advanced Microsoft Excel skills, including Pivot Tables, VLOOKUP/XLOOKUP, financial analysis, and report Experience using ERP and accounting software systems Strong understanding of Egyptian tax regulations, VAT, withholding tax, and financial compliance requirements Very good command of English, both written and spoken Strong has analytical, organizational, problem-solving, and communication skills

<p>"Sales Representative wanted for a Jotun dealership showroom." In-store sales, assisting customers with color coordination, operating the tinting machine, and using the sales system.</p><p></p><p><strong>Requirements</strong></p><pre><code>Requirements: Relevant qualification, well-groomed appearance, excellent interpersonal skills, proficiency in computer use/systems, and good English language skills. </code></pre><p></p>

<p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Analyze, develop, and optimize production and operational processes to improve efficiency and quality.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Identify process bottlenecks, inefficiencies, and waste, and implement corrective actions.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Develop and maintain process flow diagrams (PFDs), process maps, standard operating procedures (SOPs), and work instructions.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Lead process improvement projects using Lean Manufacturing, Six Sigma, and other continuous improvement methodologies.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Support the design, installation, commissioning, and validation of new equipment and processes.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Ensure compliance with safety, environmental, and regulatory requirements.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Prepare technical reports, process documentation, and performance analyses.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Evaluate and recommend technologies, materials, and methods to improve process performance and reduce costs.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Design, develop, and drive investment in machinery and mechanical systems.&nbsp;</p><p>•&nbsp;&nbsp;&nbsp;&nbsp; Train and oversee the process and production team regarding every new machine or technology, including their compliance to the machine’s best performance conditions.</p><p>•&nbsp;&nbsp;&nbsp;&nbsp; Monitor machine performance and recommend improvements to increase efficiency and reliability.&nbsp;</p><p>•&nbsp;&nbsp;&nbsp;&nbsp; Manage implementation of engineering changes on the production line.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Evaluate supplier capabilities, quality systems, and technical competencies.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Coordinate with design, production, procurement, and quality teams to achieve operational objectives.</p><p><strong>Requirements</strong></p><ul><li><p>Bachelor’s degree in engineering (Mechanical, Mechatronics, Industrial, Manufacturing, or related field).</p></li><li><p>5+ years of Experience in process engineering, manufacturing, or industrial operations.</p></li><li><p>Strong understanding of process optimization, production systems, and quality management principles.</p></li><li><p>Strong knowledge of mechanical systems, hydraulics, pneumatics, and rotating equipment.</p></li><li><p>Proficiency in data analysis and process improvement tools.</p></li><li><p>Excellent analytical with an eye for details, problem-solving, and communication skills.</p></li><li><p>Knowledge of Lean Manufacturing, Six Sigma, Kaizen, and continuous improvement methodologies.</p></li><li><p>Very good written and verbal communication skills in English.</p></li></ul><ul><li><p>Strong technical reporting and documentation skills.</p></li><li><p>Proficiency in engineering software and CAD tools (e.g., AutoCAD, SolidWorks).</p></li><li><p>Strong understanding of manufacturing processes, fabrication, machining, welding, and assembly techniques.</p></li><li><p>Ability to read and interpret engineering drawings and technical specifications.</p></li><li><p>Knowledge of quality management systems and inspection requirements.</p></li></ul><p><strong>Key Competencies</strong></p><ul><li><p>Process optimization and improvement.</p></li><li><p>Root cause analysis and troubleshooting.</p></li><li><p>Continuous improvement mindset.</p></li><li><p>Data-driven decision-making.</p></li><li><p>Project management.</p></li><li><p>Quality and safety focus.</p></li><li><p>Teamwork and collaboration.</p></li><li><p>Attention to detail.</p></li></ul><p></p>

<p>Siemens Digital Industries Software - Where today meets tomorrow. Let's make the difference together! We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking, and focuses on growth, so our people, our business, and our customers can achieve their full potential.</p><p>We are looking for passionate Senior AI/ML Software Professionals / Engineers who will be a member of our technology and innovation team responsible for new technology development and innovation projects within our organization.</p><p><b><br></b></p><p><b>Key Responsibilities:</b></p><ul><li>Design, develop, test, and deploy web applications and services using modern programming languages, frameworks, and tools for both front-end and back-end development.</li><li>Develop products and prototypes in one or all of the following areas: LLM (Large Language Model), NLP (Natural Language Processing), DL (Deep Learning), ML (Machine Learning), etc.</li><li>Work with partners and customers to create the highest quality and cost-effective solutions.</li><li>Drive the software production process; own given features from beginning to end, from mockups &amp; design documents/reviews to acceptance testing and deployment.</li><li>Produce high-quality and innovative deliverables for our development teams and customers.</li><li>Conform to Siemens processes, quality standards, and guidelines.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>BSc., MSc. or Ph.D. in Computer Engineering, Computer Science, Mathematics, or in related areas</li><li>Experience in developing web applications for diverse industries is a must.</li><li>Minimum of 4 years of professional experience in a similar role is required.</li><li>Proficiency in multiple programming languages such as Python, Java, and/or JavaScript, is a must, and knowledge of UI frameworks like ReactJS and Angular is a plus.</li><li>Understanding of data structures, data modeling, and software architecture</li><li>Hands-on experience in experience in web/cloud and mobile application development for AI, ML-based solutions.</li><li>Hands-on experience in designing and developing software applications for web/cloud and IoT platforms (AWS, Google Cloud, Microsoft Azure, or IBM Bluemix, etc.) is required.</li><li>Hands-on experience with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) is a plus.</li><li>Knowledge of virtualization technologies like Docker, and Kubernetes is a plus.</li><li>Passionate about developing simple, clean, and attractive code.</li><li>Strong problem-solving and analytical skills.</li><li>Proficiency in English</li></ul>

<p>We are looking for a <strong>Senior Automation QA Engineer</strong> to join our growing engineering team. In this role, you will play a key technical role across a diverse ecosystem—spanning back-end microservices, Web UI portals, mobile applications, VR, Data Analytics, and Machine Learning.</p><p>We need a proactive quality leader who can architect scalable test automation frameworks, establish quality standards, integrate AI-driven testing workflows, and mentor team members across multiple project streams.</p><p>&nbsp;</p><p><strong>What We Offer:</strong></p><ul><li><p>Long-term career stability with a competitive salary paid in USD.</p></li><li><p>Conditions for steady career development.</p></li><li><p>Development supported by dedicated mentors and a variety of programs focused on expertise and innovation.</p></li><li><p>Private medical insurance provided after successful completion of the probationary period</p></li><li><p>A well-equipped and cozy office supports comfort and productivity across all project stages.</p></li><li><p>Welcoming atmosphere and a friendly corporate culture.</p></li></ul><p></p><p><strong>Requirements</strong></p><p><strong>What we expect from you</strong></p><ul><li><p><strong>Experience:</strong> 5+ years of commercial experience in software test automation including&nbsp;leadership or ownership.</p></li><li><p><strong>Architecture &amp; Frameworks:</strong> Hands-on experience building, maintaining, and scaling commercial-grade automation frameworks from scratch (UI and API).</p></li><li><p><strong>Programming Mastery:</strong> Strong proficiency in at least two primary automation languages (<strong>TypeScript/JavaScript, Java,&nbsp;Python&nbsp;or C#</strong>) with solid software engineering principles (OOP, Design Patterns, SOLID).</p></li><li><p><strong>CI/CD &amp; DevOps:</strong> Practical experience integrating automated test suites into CI/CD pipelines (<strong>Jenkins, GitLab CI, GitHub Actions</strong>) and working with containerization tools (<strong>Docker</strong>).</p></li><li><p><strong>AI-Proficiency</strong>&nbsp;in<strong>:</strong>&nbsp;</p><ul><li><p>Building multi-agent workflows using AI Assistants like GitHub Copilot, Codex, and Claude, covering all STLC stages.</p></li><li><p>Output validation and improvement techniques.</p></li><li><p>Effective context collection, handling, and processing.</p></li><li><p>Success measurement and efficiency assessment.</p></li></ul></li><li><p><strong>Process &amp; Strategy:</strong> Deep understanding of Agile methodologies, quality metrics, and the ability to define overall test strategies rather than just executing scripts.</p></li><li><p><strong>Tooling &amp; Version Control:</strong> Advanced knowledge of modern automation tools (<strong>Playwright, Cypress, Selenium, or WebdriverIO</strong>) and Git workflows.</p></li><li><p><strong>Communication:</strong> Upper-Intermediate (B2+) or Advanced (C1) English for clear technical communication with cross-functional stakeholders.</p></li></ul><p></p><p><strong>Will be a plus</strong></p><ul><li><p>Experience setting up and running <strong>Performance &amp; Load Testing</strong> (e.g., JMeter, k6, Locust).</p></li><li><p>Direct experience with automated testing for <strong>Data Analytics, Machine Learning models, or VR applications</strong>.</p></li><li><p>Experience mentoring junior/middle engineers and conducting technical code reviews.</p></li><li><p>Knowledge of infrastructure-as-code or cloud platforms (AWS, Azure, or GCP).</p></li><li><p>Deep understanding of AI and Large Language Models (LLMs), including their application in automated test generation and defect analysis.</p></li></ul><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Responsibilities</p><p>Production Lead on the execution of the daily production plan &amp; monitor the true efficiency &amp; net efficiency</p><p>Monitor the water usage, Energy &amp; waste of the PL and ensure meeting set KPIs for both</p><p>Communicate machine downtime on spot</p><p>Fill in the daily M&amp;W production report</p><p>Request &amp; receive the production raw &amp; pack material on SAP and deliver finished good to the warehouse</p><p>Follow up the production line cleanliness before/after &amp; during production shift</p><p>Autonomous Maintenance</p><p>Execute production line autonomous maintenance (Cleaning, Inspection, Lubrication, Tightening)</p><p>Own work order process from Autonomous maintenance on SAP PM</p><p>Own the production line lubrication map &amp; follow up on the inspection/ Tightening list per machine</p><p>Preventive Maintenance</p><p>Supervise the line Preventive Maintenance Tech with setting &amp; executing the monthly PM plan/line</p><p>Execute actions for corrective &amp; preventive maintenance tasks via PM techs &amp; OM</p><p>Ensure the production line preventive maintenance compliance via own PM techs</p><p>Trouble shooting</p><p>Lead on the production line minor mechanical stoppages trouble shooting (0-30Min)</p><p>Escalate major mechanical stoppages to concerned mechanical engineer (30Min+)</p><p>Partner with mechanical engineer in root cause analysis</p><p>Escalate both minor &amp; major electric breakdowns to electric engineer</p><p>Ensure production line restart in stable condition after failure</p><p>Planned maintenance/overhaul supervise maintenance action plan as per timelines &amp; accountabilities report daily progress to maintenance team</p><p>Ensure Implementation of CQV to enable line restart in a stable condition</p><p>Spare parts</p><p>Alert mechanical engineer with consumable spare parts minimum stock</p><p>With own team: Develop and train own operate maintain technicians to continuously meet set KPIs</p><p>Monitor the outsourced labor online to ensure performing assigned tasks as needed</p><p>Others</p><p>Act as a circle leader as part of the TPM (AM agenda in plant)</p><p>Meet the set KPIs for all plant s audit (AIB/ GESMS)</p><p>Follow and apply all quality, food safety, EHS guidelines and policies</p><p>Measures (TBC)</p><p>Line True efficiency &amp; Net Efficiency</p><p>Preventive maintenance compliance / production line</p><p>TPM score for own circle (production line)</p><p>Mean Time Between failure for the production line (MTBF)</p><p>Own circle AIB score for maintenance (200)</p><p>GEHMS score for own line.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph">Engineering graduate<br>From 0-1 year of experience<br>English language &amp; computer fluency<br>Trouble shooting skills<br>Basic leadership skills<br>Ability to work with diverse cultures'</p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a local freelance Senior Technician with expertise in installation, test, maintenance and repair of communication systems to support a project in Alexandria . This role involves on-site management of maintenance activities, ensuring compliance with technical and operational requirements.</p><p>Kay Responsabilities:</p><ul><li>Customer site installation in operational environment.</li><li>Unitary equipment installation with installation manual.</li><li>Simple tasks requiring electronic and cabling skills: cabling, cable repair, material handling, stock management, and inventory.</li><li>Repair following specifications/instructions.</li><li>Running verification and non-regression tests.</li><li>Identify, qualify and write Fault/Problem Reports.</li><li>Investigate and solve/repair Fault/Problem Reports.</li><li>Write test procedures.</li><li>Write and update documents and reports.</li><li>Perform and update equipment cabling.</li><li>Perform network equipment update (switch) with manual.</li><li>Perform IT equipment update (server) w/o manual.</li><li>Use a PC with Virtual Machine ; troubleshooting on Linux/Windows OS in case of issues.</li><li>Wiring and configuration of equipment (e.g. radios, modem).</li><li>Define and realise a cable.</li><li>Able to manage technicians as part of the project.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Knowledge and experience in naval installation, test, maintenance and repair of communication systems. Desirable experience in military environments. English: B2. IT tools advanced experience. Customer orientation, results-oriented and fluid communication.</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b>Job Description</b><br>You are about to apply for a job in a certified Top Employer 2025! <br>Ready to be part of one of the Market Leaders in Egypt? Apply now!<br>Raya Holding for Financial Investments is hiring Financial Analyst (Machine Learning Project) <strong>6-Month Contract.</strong><br> <br>What will you do?<br>• Design and implement machine learning models to enhance budget forecasting, scenario analysis, and cost predictions.<br>• Automate key budgeting processes, including data consolidation, variance analysis, and commentary generation.<br>• Develop dynamic reporting dashboards and tools to support real-time financial performance monitoring.<br>• Integrate ML models into financial systems (e.g., Oracle EPM, SAP BPC, Power BI) for seamless data flow and user access.<br>• Streamline financial reporting by building ETL pipelines that extract, clean, and transform financial data automatically.<br>• Collaborate with FP&amp;A, accounting, and IT teams to identify opportunities for automation and improve process efficiency.<br>• Maintain detailed documentation of models, assumptions, and system integrations for audit and stakeholder review.<br>• Monitor model performance and continuously improve accuracy, scalability, and reliability.<br><b>Skills Description</b><br>What will you need?<br>• Bachelor's or Master's degree in Data Science, Finance, Computer Science, Statistics, or a related discipline.<br>• Proficient in Python (pandas, NumPy, scikit-learn) and SQL; experience with Power BI or Tableau preferred.<br>• Solid understanding of budgeting cycles, financial statements, and variance analysis.<br>• Experience with enterprise performance management platforms (e.g., Oracle EPM).<br>• Strong knowledge of ML algorithms (regression, classification, time-series, anomaly detection).<br>• Familiarity with automation frameworks and APIs .<br>• Ability to communicate complex technical solutions to non-technical finance stakeholders.<br>Preferred Skills:<br>• Experience building automation tools for finance teams.<br>• Working knowledge of financial KPIs, forecasting models, and reporting standards.<br>• Exposure to cloud platforms for data storage and ML model deployment.<br> <br>Key Deliverables:<br>• Automated budgeting and reporting workflows reducing manual effort and cycle time.<br>• Machine learning models embedded in financial planning processes with proven forecast accuracy improvement.<br>• Interactive, real-time dashboards that enhance business unit performance tracking and decision-making.<br> <br>What is unique about Raya?<br>• Are you an eager learner? Raya believes in its employees, so we aim to continuously provide learning &amp; development plans for all of our employees to ensure their personal and career development.<br>• Are you looking for career progression? Raya is an entity where you can grow whether horizontally or vertically as we offer internal transfer opportunities.<br>• Are you looking for a rewarding environment? Raya's top achievers are awarded annually with an international 5 days trip.<br>• Are you looking for an opportunity to give back to the community? Raya encourages their employees to give back to the community through different ongoing CSR programs and initiatives.<br>• Are you a foodie? Exclusive discounts for Raya employees at Raya's Restaurants.<br><b>Job Details</b><br>Job Title<br> <br>Financial Analyst (Machine Learning Project)<br>Job Country<br> <br>Egypt<br>Job City<br> <br>Cairo<br>Job Role<br> <br>Accounting/Banking/Finance<br><b>Preferred Candidate</b><br>Career Level<br> <br>Mid Career<br><b>Raya Holding for Financial Investments</b><br> <br> Investment, Securities &amp; Funds Egypt 500 employees or more +123.1.234.567 https://rayacorp.com/ <br>Raya Holding for Financial Investments, a leading investment conglomerate, was established in 1999 in Egypt with a vision to be a market leader and to grow into a solid financial conglomerate with multifaceted operations. Headquartered in Cairo, Egypt, Raya Holding is managing a diversified investment portfolio of 13 lines of business in the various industries of e-payment, information technology, contact center, smart buildings, consumer electronics, food and beverage, land transport, PET remanufacturing and FMCG. Raya Holding is listed in the Egyptian Exchange (EGX) since 2005, while the company empowers more than 12,000 proficient employees, accommodating to a wide international customer base from offices based in Egypt, Saudi Arabia, UAE, Qatar, Poland, Nigeria and Tanzania. Raya's Lines of Business include: Aman for e-payments, Aman for Financial Services, Ostool, Raya Customer Experience, Raya Foods, Raya Information Technology, Raya Food Trading, Raya Restaurants, Raya Smart Buildings, Raya Trade, Raya Auto and Haier - Raya Electric. <br><b>Similar Jobs</b><br>See All<br> </div>

<p>Experience that includes strong analytical skills, attention to detail, and effective communication abilities. Experience communicating clearly and concisely with leadership, stakeholders, and cross-functional teams. Experience managing and executing projects. Experience with training and deploying machine learning systems to solve large-scale optimizations, or experience in development or technical support.</p><p><strong>Desired Candidate Profile</strong></p><p><br></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About the Role We are looking for a Senior AI Engineer to design, build, and operate production-grade Generative AI solutions on the Microsoft Azure AI ecosystem.<br> You will be the technical anchor for our GenAI initiatives, owning the end-to-end lifecycle: from foundation model selection and prompt/RAG architecture through deployment, MLOps, security hardening, and continuous evaluation.<br> This is a hands-on senior role.<br> You will set technical direction, mentor engineers, and work directly with product, data, security, and platform teams to move AI use cases from prototype to reliable, governed, cost-efficient services.<br> What You Will do GenAI solution design and delivery • Architect and build LLM-powered applications (RAG, agents, copilots, document intelligence, content understanding, conversational systems) using Azure AI Foundry, Azure OpenAI, and the broader Azure AI and data portfolio .<br> • Design retrieval pipelines with Azure AI Search (vector, hybrid, and semantic ranking), including chunking, embedding, indexing, and relevance tuning strategies.<br> • Evaluate, fine-tune, and deploy foundation and open-source models (e.<br>g., GPT, Phi, Llama, Mistral, Kimi, GLM) through Azure AI Foundry model catalog and Azure Machine Learning.<br> • Implement prompt engineering, orchestration frameworks (Semantic Kernel, LangChain, Prompt Flow, or equivalent), and structured evaluation of model quality, groundedness, and safety.<br> Platform, MLOps, and productionization • Build and maintain MLOps/LLMOps pipelines on Azure ML, Github Enterprise: experiment tracking, model registry, CI/CD for models and prompts, automated evaluation, monitoring, and drift/cost management.<br> • Expose AI capabilities as scalable microservices (Azure Kubernetes Service, Azure Container Apps, Azure Functions, API Management), with attention to latency, throughput, resilience, and cost.<br> • Establish observability for AI systems: tracing, token/cost telemetry, quality metrics, and feedback loops.<br> AI security and governance • Apply Responsible AI and AI security practices: content safety filters, prompt-injection and jailbreak mitigation, data-leakage controls, PII handling, and red-teaming.<br> • Implement secure architectures using Azure identity (Entra ID, managed identities), private endpoints, Key Vault, network isolation, and data residency controls.<br> • Contribute to AI governance standards, model risk documentation, and compliance requirements.<br> Technical leadership • Define reference architectures, coding standards, and reusable components for GenAI workloads.<br> • Mentor and review the work of other engineers; lead design discussions and technical decision-making.<br> • Partner with stakeholders to translate business problems into feasible, measurable AI solutions and communicate trade-offs clearly.<br> • Stay current with the rapidly evolving model and tooling landscape and bring practical recommendations to the team.<br> Required Qualifications • 8–10+ years of overall experience in AI, machine learning, and data engineering, with a strong track record of delivering production systems.<br> • Minimum 2–3 years of hands-on experience with Azure AI Foundry (formerly Azure AI Studio) and Azure OpenAI Service, including deploying and operating GenAI applications in production.<br> • Deep expertise across the Azure AI ecosystem: Azure Machine Learning, Azure AI Search, Azure AI Services (Document Intelligence, Language, Speech, Vision), Fabric and Azure AI Content Safety.<br> • Strong understanding of LLMs and foundation models: architectures, tokenization, context management, embeddings, fine-tuning (LoRA/PEFT), quantization, and evaluation methods.<br> • Practical experience with open-source models and frameworks (Hugging Face, Llama, Mistral, Phi, vLLM/ONNX Runtime or similar serving stacks).<br> • Proven MLOps/LLMOps experience: CI/CD, model versioning, automated testing and evaluation, monitoring, and rollback strategies.<br> • Experience designing and building microservices and APIs (containers, Kubernetes, REST/gRPC, event-driven patterns) with Azure DevOps or GitHub Actions.<br> • Demonstrated knowledge of AI security and Responsible AI: threat modeling for LLM applications (OWASP Top 10 for LLMs), data protection, access control, and safety guardrails.<br> • Working experience with at least one other cloud provider (AWS or GCP) and their AI/ML services (e.<br>g., Amazon Bedrock, SageMaker, Vertex AI).<br> • Expert-level Python; solid software engineering fundamentals (testing, code review, design patterns, performance optimization).<br> • Strong data foundations: SQL, data pipelines, data modeling, and familiarity with Azure data services (Data Factory, Databricks, Synapse, Fabric, Cosmos DB, or equivalent).<br> • Excellent communication skills with the ability to explain complex AI concepts to technical and non-technical audiences.<br> Preferred Qualifications • Microsoft certifications: AI-102 (Azure AI Engineer Associate), DP-100 (Azure Data Scientist Associate), or AZ-305.<br> • Experience with agentic AI patterns, multi-agent orchestration, and tool/function calling (Azure AI Agent Service, Semantic Kernel agents, AutoGen, or similar).<br> • Experience with vector databases beyond Azure AI Search (e.<br>g., Cosmos DB vector search, PostgreSQL pgvector, Pinecone, Weaviate).<br> • Background in NLP, computer vision, or speech systems prior to the GenAI era.<br> • Experience with model evaluation and observability tooling (Azure AI evaluation SDK, Prompt Flow evaluations, Langfuse, MLflow, Weights &amp; Biases).<br> • Familiarity with regulatory and compliance frameworks relevant to AI (GDPR, ISO/IEC 42001, NIST AI RMF, EU AI Act, or regional data protection regulations).<br> • Experience operating in regulated industries (financial services, healthcare, government) or large-enterprise environments.<br> • Contributions to open-source projects, publications, or technical community engagemen Key Competencies • Ownership and delivery focus in ambiguous, fast-moving environments • Systems thinking: balancing model quality, latency, cost, security, and maintainability • Pragmatism about when GenAI is (and is not) the right tool • Mentorship and collaborative technical leadership What We Offer Competitive market compensation and benefits.<br> • Opportunity to shape the AI platform and standards for a fast growing startup in UAE.<br> • Access to Azure and partner resources, certifications, and continuous learning budget Travel.<br></span> </div>

<p><h4>Who we are</h4> <p><strong>VOIS (Vodafone Intelligent Solutions)</strong> 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> <h4>About this role</h4> <p>We are seeking an experienced Senior AI Software Engineer to design, develop and deploy advanced artificial intelligence solutions, intelligent agents, copilots and enterprise automation workflows. You will combine expertise in large language models, machine learning, retrieval-augmented generation, robotic process automation, application programming interfaces and cloud technologies to deliver secure, scalable and governed solutions aligned with business objectives. The role is based at SV VHub-2 and reports to the Data and Analytics Technical Lead.</p> <h4>What you’ll do</h4> <ul> <li>Translate senior stakeholder priorities into practical AI, machine learning and generative AI architecture, implementation roadmaps and measurable transformation outcomes.</li> <li>Lead the design and implementation of end-to-end automation across cloud, desktop, enterprise resource planning, legacy and enterprise applications using robotic process automation, reusable components, APIs and custom code.</li> <li>Develop and deploy intelligent agents, copilots and autonomous assistants using appropriate triggers, knowledge sources, integrated tools, escalation logic and governance controls.</li> <li>Embed large language models, machine learning, retrieval-augmented generation, document intelligence and content extraction into workflows to improve reasoning, data extraction and business process execution.</li> <li>Design and maintain orchestration pipelines covering prompt management, context handling, response validation and output quality controls.</li> <li>Manage the automation lifecycle across development, testing and production environments, including data loss prevention policies, source control, continuous integration and delivery, release management and operational monitoring.</li> <li>Collaborate with enterprise, application, data and DevOps architects, data scientists, machine learning operations specialists and business teams to assess use cases and define solution designs.</li> <li>Partner with product, engineering and compliance teams to deliver AI capabilities securely, responsibly and efficiently.</li> <li>Support technical review boards and design authority approval processes.</li> <li>Guide small delivery teams and support technical and citizen developers through mentoring, peer reviews and clear documentation.</li> </ul> <h4>Who you are</h4> <ul> <li>You hold a bachelor’s degree in computer science or a related discipline.</li> <li>You bring at least three years of professional experience in enterprise automation, robotic process automation, intelligent process automation, AI agent development or cloud-native workflow orchestration.</li> <li>You have at least two years of experience working with cloud platforms such as Microsoft Azure or Google Cloud Platform.</li> <li>You have hands-on production experience with large language models, including prompt engineering, evaluation and orchestration using LangChain, LlamaIndex or equivalent technologies.</li> <li>You understand agentic system design, including multi-step reasoning, tool use, planning, autonomous execution and multi-agent collaboration.</li> <li>You have advanced Python development skills for AI orchestration, backend agent logic, retrieval-augmented generation and workflow automation, together with proficiency in C#/.NET or Java.</li> <li>You have experience with enterprise AI platforms such as Azure AI Foundry, Azure AI Search or Google Vertex AI, as well as vector databases, embeddings, fine-tuning and evaluation methods.</li> <li>You can deploy and operate AI or automation workloads using Docker and cloud execution platforms such as Azure Container Apps or Azure Kubernetes Service.</li> <li>You understand enterprise integration patterns, including APIs, custom connectors, OAuth-secured services, enterprise applications and third-party data sources.</li> <li>You have experience with automation and delivery technologies such as UiPath, Power Automate, Kubernetes, GitHub Actions, Azure DevOps or GitLab CI.</li> <li>You can manage competing priorities and multiple projects effectively.</li> <li>You communicate clearly with clients and stakeholders and can translate complex technical concepts into accessible business language.</li> <li>You are familiar with Agile delivery methods, including experience working in Scaled Agile Framework environments.</li> <li>You can lead small teams, collaborate across disciplines and support effective project delivery.</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>The opportunity to deliver production-ready AI, agentic and intelligent automation solutions with measurable business impact.</li> <li>Exposure to multidisciplinary collaboration across AI, data science, architecture, engineering, DevOps, compliance and business teams.</li> <li>The opportunity to shape enterprise AI architecture, implementation roadmaps and responsible governance practices.</li> <li>Experience leading technically complex initiatives across cloud, automation and enterprise application environments.</li> <li>Opportunities to mentor technical and citizen developers while contributing to peer reviews and engineering standards.</li> </ul> <h4>What skills you will learn</h4> <ul> <li>Advanced design and orchestration of enterprise AI agents and copilots.</li> <li>Production implementation of retrieval-augmented generation, prompt management and response-quality controls.</li> <li>Integration of AI services with enterprise platforms, secured APIs and legacy applications.</li> <li>Operation of resilient AI and automation workloads using containerisation, cloud platforms and continuous delivery pipelines.</li> <li>Responsible AI governance, monitoring, automated testing, root-cause analysis and self-healing automation.</li> <li>Cross-functional solution design and stakeholder engagement within a large enterprise environment.</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></p><p></p>

Job Description:-Drive automated database builds across Mongo DB, Postgre SQL, Oracle (RAC/Standalone/Exadata), MySQL, and MS SQL Server.-Create deployable bare-metal, virtual server, and containerized database configurations.-Work with Red Hat Open Shift, VMware, and Oracle Exadata across database virtual hosts and containers.-Provide deep technical expertise across core database technologies, including adoption of new features and capabilities.-Understand database integration with operating systems, Active Directory, backup, and other external technologies.-Design and deploy databases in High Availability environments.-Define database standards and security frameworks with relevant stakeholders.-Optimize database performance across I/O, memory, CPU, indexing, and partitioning.-Implement database monitoring for errors and performance, integrating with enterprise monitoring, logging, and SIEM platforms.-Develop AI solutions for Engineering and BAU/business database operations.-Build automated solutions using Power Shell, Bash, Python, and other automation tools.<br>Job Requirements:-Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent experience).-6+ years of experience in Enterprise Database Technologies.-Deep understanding of Database Server Technologies - Mongo DB, Postgres, Oracle (RAC / Standalone and Exadata), MySQL, MS SQL Server.-Strong knowledge of key technologies: - Devops technologies (CI/CD pipelines), Container Registries, Ansible-Detailed Database fault finding / performance tuning experience-Creating standard Database / Container Images across on premises (Open Shift / VMware) and cloud-Certified Postgres SQL DBA-Certified Mongo DB Associate DBA-Microsoft Certified: Azure Database Administrator Associate.-Certified Oracle Database Administration-Oracle Certified Professional – HA-Oracle Exadata Database Machine Certified Implementation Specialist Certification-Oracle Certificed Professional MySql-Experience in Kubernetes in Cloud

About UsLoopernode Technologies is an Enterprise AI Data Services company specializing in high-quality data collection, data annotation, and AI training datasets. We support AI and machine learning initiatives by delivering reliable, human-generated and human-verified data across multiple domains and modalities.<br>About the Project We are looking for freelance participants who are Arabic speakers to support an Arabic Modern Standard Arabic (MSA) Speech Data Collection Project. Selected participants will contribute Arabic speech data that will be used for the development, training, and evaluation of AI and speech technologies. Participants will read a provided Modern Standard Arabic (MSA) script naturally in real-world environments, allowing the project to capture authentic Arabic speech along with natural ambient background sounds. This is a short-term, project-based opportunity that can be completed within one day.<br>Responsibilities Collect approximately 4 speech hours of Arabic MSA audio data. Read the provided Modern Standard Arabic (MSA) script naturally, clearly, and consistently. Record audio in real-world environments with natural background sounds. Capture recordings in suitable environments such as roads, traffic areas, public places, outdoor locations, and other everyday settings. Follow all recording guidelines and project instructions provided by the Loopernode Technologies team. Record and submit audio files in the required MP3 format. Follow the specified file naming and submission requirements. Upload completed recordings to the designated Google Drive. Ensure that recordings meet the required quality and project specifications. Complete the assigned collection within the agreed timeline. Requirements Arabic speaker. Ability to read and speak Modern Standard Arabic (MSA) clearly and naturally. Ability to follow detailed recording instructions accurately. Access to a suitable smartphone or recording device. Ability to record in real-world environments with natural background sounds. Basic understanding of uploading and managing audio files through Google Drive. Reliable internet connection for file submission. Strong attention to detail and ability to follow project guidelines. Ability to complete the assigned recording within the specified timeframe. Project Details Project Type: Arabic Speech Data Collection Language: Arabic – Modern Standard Arabic (MSA) Participant Profile: Arabic Speakers Required Data: 4 speech hours per participant Recording Duration: Approximately 1 hour 15 minutes per speech hour Audio Format: MP3Estimated Completion: Within one day Work Arrangement: Freelance / Project-based Location: Remote Compensation Rate: $8 per speech hour Total Project Compensation: $32 for 4 speech hours Payment will be processed upon successful completion and quality verification of the submitted recordings. What We Provide Complete Arabic MSA recording script Detailed recording guidelines File naming and submission instructions Project onboarding and guidance Support from the project team throughout the assignment Why Participate? Contribute to real-world AI and speech technology development. Gain experience working on professional AI data projects. Flexible, project-based opportunity. Short-term assignment that can be completed within one day. Opportunity to contribute to Arabic speech datasets used in AI development. Opportunity to work with an Enterprise AI Data Services company supporting global AI initiatives.<br>Eligible participants will receive the project information, application process, and recording guidelines from the Loopernode Technologies team.<br>Loopernode Technologies AI Data Collection | Data Annotation | AI Training Data<br>#AIData Collection #Speech Data #Audio Data #AIDatasets #AITraining #Machine Learning #Voice Data #Data Collection #AIJobs #Freelance Work #Loopernode Technologies

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Roles &amp; Responsibilities</p><br><p>We’re seeking a AI Engineer to design, develop, and deploy AI and machine learning solutions for real-world business needs. This role requires strong experience working with both custom-built and pre-trained models—spanning LLMs, computer vision, NLP, and traditional ML—and delivering them into production through APIs, web applications, or microservices.</p><br><strong>Responsibilities</strong><p>Build, train, and deploy machine learning and AI models across supervised, unsupervised, and deep learning workflows.</p><br><p>Integrate and fine-tune pre-trained models (LLMs, vision, NLP) from platforms such as OpenAI, Anthropic, AWS Bedrock, Azure AI, and Hugging Face.</p><br><p>Develop end-to-end ML pipelines covering data processing, model training, and inference.</p><br><p>Create APIs, web applications, and microservices to serve models in production environments.</p><br><p>Work closely with data and software engineering teams to deliver scalable, maintainable systems.</p><br><p>Optimize models for performance, latency, scalability, and cost.</p><br><p>Implement model evaluation, monitoring, and performance tracking.</p><br><p>Stay updated on emerging AI tools, frameworks, and techniques.</p><br><strong>Requirements</strong><p>Demonstrated experience developing and deploying ML models (regression, classification, NLP, computer vision).</p><br><p>Strong proficiency in Python and major ML/DL frameworks such as PyTorch, TensorFlow, or Keras.</p><br><p>Hands-on experience with AI APIs and SDKs (OpenAI, Anthropic, AWS Bedrock, Azure OpenAI, etc.).</p><br><p>Ability to build RESTful APIs, web apps, or microservices using FastAPI, Flask, or Django.</p><br><p>Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).</p><br><p>Experience with semantic databases (Neo4j, RDF stores, knowledge graphs) and relational databases (PostgreSQL, MySQL).</p><br><p>Solid understanding of version control, model evaluation, and deployment best practices.</p><br><strong>Preferred</strong><p>Experience with MLOps workflows (CI/CD, model registries, monitoring, governance).</p><br><p>Knowledge of data orchestration tools (Airflow, Prefect, Kafka).</p><br><p>Exposure to vector databases (FAISS, Pinecone, Weaviate) and RAG architectures.</p><br><p>Familiarity with prompt engineering or LLM fine-tuning.</p><br><p>Experience building AI-driven applications such as chatbots or recommendation engines.</p><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>POSITION SUMMARY Operate and monitor washing, dry cleaning, and drying machinery, including adding chemicals and cleaning lint traps. Identify stained or damaged items and determine status for repair, spot treatment, rewash, or discard. Inspect cleanliness of articles removed from the washer, dryer, or dry-cleaning machines and place in clean linen carts. Set dryers to designated times and temperatures based on fabrics contained in load. Remove lint and debris from dryer screens, dry cleaning filters, and drain trap after each load. Fold cleaned articles into designated size, either by hand or using folding machine. Maintain accurate records of items laundered. Follow all company safety and security policies and procedures; report accidents, injuries, and unsafe work conditions to manager; complete safety training and certifications. Follow all company policies and procedures; ensure uniform and personal appearance are clean and professional; maintain confidentiality of proprietary information; protect company assets. Develop and maintain positive working relationships with others; support team to reach common goals; listen and respond appropriately to the concerns of other employees. Ensure adherence to quality expectations and standards; identify, recommend, develop, and implement new ways to increase organizational efficiency, productivity, quality, safety, and/or cost-savings. Visually inspect tools, equipment, or machines (e.g., to identify defects). Stand, sit, or walk for an extended period of time or for an entire work shift. Move, lift, carry, push, pull, and place objects weighing less than or equal to 25 pounds without assistance. Move through narrow, confined, or elevated spaces. Move over sloping, uneven, or slippery surfaces as well as up and down stairs and/or service ramps. Reach overhead and below the knees, including bending, twisting, pulling, and stooping. Perform other reasonable job duties as requested by Supervisors.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Education: No high school diploma or G.E.D. equivalent. Related Work Experience: No related work experience. Supervisory Experience: No supervisory experience. License or Certification: None</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span></span><p><strong>Role Purpose:</strong></p><br> <p>Overseeing all daily plant operations—from production and manufacturing to compliance with policies and procedures. The role also involves leading Manufacturing, Operational Excellence activities by setting strategies for capacity and utilization improvement through process optimization, enhancing efficiency and cost-effectiveness.</p><br> <p><strong>Key Responsibilities:</strong></p><br> <ul> <li>Oversee and organize work in production, packaging, and warehouse facilities to ensure maximum performance.</li> <li>Ensure supervisors are up to date with training requirements in alignment with local and global standards.</li> <li>Manage the production process in collaboration with the Planning Department, advising on schedule improvements to fulfill demand while optimizing operational efficiency.</li> <li>Develop communication channels with other divisions to exchange best practices and ideas that improve overall corporate profitability.</li> <li>Allocate resources effectively and fully utilize assets to achieve optimal results.</li> <li>Ensure compliance with company policies to maintain high quality standards in production, packaging</li> <li>Develop and maintain succession plans for all areas of responsibility to ensure sustainable performance.</li> <li>Drive process improvements and machine productivity enhancements across sites to improve unit cost and employee productivity.</li> <li>Set OEE (Overall Equipment Effectiveness) targets for sites based on product mix and machine capabilities to ensure regional alignment.</li> <li>Manage harmonization and optimization of product composition and manufacturing processes to enhance efficiency and utilization.</li> <li>Direct implementation of value stream mapping for top three products in each site to improve manufacturing cycle time.</li> <li>Oversee Operational Excellence initiatives to standardize plant performance indicators.</li> <li>Manage and control tech-transfer of products between sites to ensure smooth implementation and transition.</li> </ul> <p><strong>Qualifications:</strong></p><br> <ul> <li>Bachelor’s degree in pharmacy.</li> <li>Minimum 10 years of experience in Production management sterile and solid dosage form.</li> <li>Strong knowledge of Lean Manufacturing, Six Sigma, and process optimization methodologies.</li> <li>Excellent leadership, communication, and problem-solving skills.</li> <li>Ability to manage multiple sites and drive operational excellence initiatives</li> </ul> </div>

Company Description Geyushi Automotive Industry, has been a key player in Egypt’s automotive sector for nearly eight decades, with a strong focus on innovation and excellence. The company operates a state-of-the-art manufacturing facility in the 10th of Ramadan City, producing around 1,500 buses annually, including eco-friendly models that support a sustainable future. An extensive research and development unit drives locally inspired designs that meet and exceed global standards. With over 60% of products sourced locally, Geyushi promotes Egyptian industrial integration and contributes to national economic growth. Team members join a mission to redefine the automotive landscape in Egypt and beyond. Role Description The CNC Engineer is a full-time, on-site role based in 10th of Ramadan City . This role involves programming, setting up, and operating CNC machines to produce high-quality automotive components according to engineering drawings and specifications. The CNC Engineer monitors machining processes, optimizes cutting parameters, and ensures adherence to safety and quality standards. Daily responsibilities include diagnosing and resolving equipment issues, coordinating with production and maintenance teams, and contributing to continuous improvement initiatives. The role also requires maintaining accurate production records and supporting the implementation of new manufacturing technologies and methods. Qualifications Strong skills in Process Control to optimize CNC operations, improve cycle times, and maintain consistent product quality. Applied knowledge of Electrical Engineering related to CNC machinery, including understanding of control panels, sensors, and basic circuitry. Hands-on Troubleshooting skills for diagnosing mechanical, electrical, and software issues in CNC equipment and related systems. Experience with Motion Control systems, including servo drives and CNC controllers, to ensure precise positioning and machine performance. Familiarity with Robotics integration in manufacturing environments, particularly robot-assisted loading, unloading, or machining tasks. Proficiency in CNC programming (e.g., G-code), CAD/CAM software, and reading technical drawings and engineering documentation. Knowledge of automotive manufacturing processes, materials, and quality standards is highly beneficial. Excellent analytical skills, attention to detail, and ability to work safely and collaboratively in a fast-paced production environment. Relevant technical diploma or bachelor’s degree in Mechanical Engineering, Mechatronics, Manufacturing Engineering, or a related field.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Responsibilities</p><ul><li>To prioritise a safe way of working</li><li>Conduct on-site inspections to check for anomalies. These can be indicated by vibration, temperature, noise, smell amongst others.</li><li>Perform machine health checks, based on a checklist/manual</li><li>SME to develop machines critical control points by studying the O&amp;Ms of critical equipment s (separators, clarifiers, pumps)</li><li>Support on identifying the critical equipment list with the upper and lower limits of the various measured parameters.</li><li>Assess equipment condition, recommend repair methods, and verify the quality of repairs.</li><li>Ensure the proper implementation of the lubrication across the site equipment.</li><li>Develop a condition-based maintenance program for the critical equipment if not yet developed.</li></ul><p>Standards &amp; Regulations</p><ul><li>Compliance with all regulatory rules applied within Lesaffre Egypt</li></ul><p>Policies, Systems, Processes &amp; Procedures</p><ul><li>Compile all relevant procedural/legislative requirements. These are fulfilled while delivering a quality, cost-effective service within timeframe</li></ul><p>Key Results Areas (KRA)</p><ul><li>Improve the MTBF (and MTTR)</li><li>Reduce the number of unplanned stops (BDs)</li><li>Compliance with regulations and effective implementation of standards</li><li>Compliance with company SOP</li><li>Compliance with OEM Manuals</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor s degree in mechanical/industrial engineering</li><li>1-3 years Solid Experience in:</li><li>Food Industry</li><li>Heavy Equipment</li><li>High-Tech Packaging Industry</li></ul><p></p></section>

Lesaffre Egypt for yeast industries is an Egyptian joint stock company for producing baking yeasts and yeasts extract. We are 100% owned by the holding company and part of Middle East & Africa baking region.<br><br>Lesaffre Egypt was established according to the Investment Guarantees and Incentives Law No. 8 of 1997, and registered in the Commercial Registry Office of Cairo Investment authority under No. 65570 on April, 14, 2013.<br><br>Our main operational purpose is to establish, manufacture, and package yeasts, yeast derivatives, and yeasts extracts. These many forms and types are then used within food products, animal feed, bread-making and bread improvers, flavorings, colors, and enzymes.<br><br>In October 2014, Lesaffre Egypt for yeasts industry (S. A. E) began effectively managing the acquired company.<br><br>Lesaffre Egypt’s main office is located in the Giza Governorate of Sheikh Zayed City while the factory is placed in the Nubaryia Industrial Area of El Beheira Governorate. We also have a Baking Center and Logistics Warehouse in 6th of October City. Currently, We employ more than 200 individual<br><br>Responsibilities<br><br>Job Description<br><br>To prioritise a safe way of working Conduct on-site inspections to check for anomalies. These can be indicated by vibration, temperature, noise, smell amongst others. Perform machine health checks, based on a checklist/manual SME to develop machines critical control points by studying the O&Ms of critical equipment’s (separators, clarifiers, pumps) Support on identifying the critical equipment list with the upper and lower limits of the various measured parameters. Assess equipment condition, recommend repair methods, and verify the quality of repairs. Ensure the proper implementation of the lubrication across the site equipment. Develop a condition-based maintenance program for the critical equipment if not yet developed. <br><br>Standards & Regulations <br><br>Compliance with all regulatory rules applied within Lesaffre Egypt<br><br>Policies, Systems, Processes & Procedures<br><br>Compile all relevant procedural/legislative requirements. These are fulfilled while delivering a quality, cost-effective service within timeframe<br><br>Key Results Areas (KRA)<br><br>Improve the MTBF (and MTTR) Reduce the number of unplanned stops (BDs) Compliance with regulations and effective implementation of standards Compliance with company SOPCompliance with OEM Manuals<br><br>Qualifications<br><br>???? Education<br><br>Bachelor’s degree in mechanical/industrial engineering<br><br>???? Experience<br><br>1–3 years Solid Experience in:???? Food Industry⚙️ Heavy Equipment???? High-Tech Packaging Industry<br><br>Additional Information<br><br>Role within the organization<br><br>Reporting to: Preventive Maintenance Manager<br><br>job Location:<br><br>An Nubariyah, Beheira Governorate, Egypt

Mechanical Maintenance Engineer (Tobacco & FMCG Manufacturing) Job Summary<br><br>We are seeking a skilled Mechanical Maintenance Engineer with 3–4 years of experience in tobacco manufacturing and FMCG production environments. The candidate will be responsible for ensuring the reliability, efficiency, and continuous operation of production machinery and utility systems through preventive, predictive, and corrective maintenance activities. Experience in high-speed manufacturing lines and industrial factory operations is essential. Key Responsibilities Perform preventive, predictive, and breakdown maintenance on production and packaging equipment. Diagnose mechanical faults and implement effective corrective actions to minimize downtime. Maintain and troubleshoot conveyors, motors, pumps, compressors, gearboxes, bearings, pneumatic and hydraulic systems. Monitor machine performance and recommend improvements to increase equipment reliability and efficiency. Support production teams to achieve daily and monthly manufacturing targets. Participate in root cause analysis (RCA) and continuous improvement initiatives. Plan and execute maintenance shutdown activities. Ensure availability and proper management of spare parts and maintenance inventory. Maintain maintenance records, reports, and equipment history in CMMS or ERP systems. Ensure compliance with safety, health, environmental, and quality standards. Coordinate with electrical, automation, and production teams for smooth plant operations. Assist in installation, commissioning, and modification of new equipment and production lines. Required Qualifications Bachelor's Degree in Mechanical Engineering.3–4 years of maintenance experience in Tobacco Manufacturing, FMCG, or other continuous-process industrial factories. Strong knowledge of mechanical systems, industrial equipment, and maintenance best practices. Experience with high-speed production and packaging machinery. Familiarity with TPM (Total Productive Maintenance), Lean Manufacturing, and Continuous Improvement methodologies. Ability to read and interpret mechanical drawings, P&IDs, and technical manuals. Knowledge of pneumatic, hydraulic, and utility systems. Proficiency in maintenance management software (CMMS/SAP PM preferred). Preferred Industry Experience Tobacco manufacturing plants. FMCG production facilities. Packaging and processing lines. Industrial manufacturing factories operating 24/7 production schedules. Key Skills Preventive & Predictive Maintenance Breakdown Analysis & Troubleshooting Root Cause Analysis (RCA) TPM & Lean Manufacturing Mechanical Equipment Reliability Industrial Safety Standards Spare Parts Management Teamwork & Cross-Functional Coordination Problem Solving & Decision Making Maintenance Planning & Scheduling Typical Equipment Exposure Cigarette making and packing machines Tobacco processing equipment Conveying systems Air compressors and vacuum systems Pumps and motors Gearboxes and drive systems Boilers, chillers, and utility equipment Pneumatic and hydraulic systems Industrial packaging machiner<br>y