Machine operator Jobs

<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

Our Company<br><br>Teradata is the connected multi-cloud data platform for enterprise analytics company. Our enterprise analytics solve business challenges from start to scale. Only Teradata gives you the flexibility to handle the massive and mixed data workloads of the future, today. <br><br>The Teradata Vantage architecture is cloud native, delivered as-a-service, and built on an open ecosystem. These design features make Vantage the ideal platform to optimize price performance in a multi-cloud environment. <br><br>What You’ll Do<br><br>What the role is about:  As a Principal/Staff Data Scientist at Teradata, you will serve as a senior individual contributor responsible for defining analytical approaches, scoping complex data science projects, and delivering high-impact solutions across multiple industries. You will tackle highly complex and ambiguous problems, architect end-to-end data science workflows, and provide deep technical guidance to cross-functional teams—without direct people management responsibilities. What impact this role has:  Your expertise will shape the technical direction of data science initiatives, influence solution design across teams, and help internal and external stakeholders make well-informed decisions. By leveraging advanced modeling, statistical rigor, and deep domain insight, you will ensure that Teradata delivers scalable, high-quality analytical solutions that drive measurable business value for our clients. What success might look like:  Success in this role means independently leading the most challenging parts of data science engagements, producing reliable and scalable solutions, and serving as a trusted technical advisor to product managers, engineers, and business stakeholders. You will be recognized for your ability to translate complex business problems into well-scoped analytical strategies, and for consistently raising the technical bar across the team. <br><br>Who You’ll Work With<br><br>An outline of the team:  You will be part of a collaborative and dynamic data science team that works closely with data engineers, project managers, solution architects, and business stakeholders. You will contribute as a high-level technical expert, helping teams navigate complexity and ensuring that analytical solutions are sound, scalable, and aligned with business needs. The role and the team play at Teradata:  The data science team at Teradata plays a crucial role in transforming data into strategic assets. As a Principal/Staff Data Scientist, you will influence the technical direction of projects, contribute reusable methodologies, and help shape best practices for developing advanced analytical solutions across multiple engagements. Who the position reports to: This position reports to the Data Science Team Manager. <br><br>What Makes You a Qualified Candidate<br><br>Non-negotiable qualifications:<br><br>Minimum of 8 years of experience in data science, machine learning, or applied analytics. Expertise in programming languages such as Python and SQL. Strong understanding of advanced statistical methods, machine learning, deep learning, and Gen AI techniques. Proven ability to scope, architect, and technically lead complex data science projects without direct management responsibilities. Excellent communication and presentation skills, with the ability to engage both technical and non-technical audiences. <br><br>What You’ll Bring<br><br>Advanced Data Analysis and Modeling: Perform highly complex data analysis and build sophisticated predictive and prescriptive models using advanced statistical, machine learning, and deep learning techniques. Technical Leadership: Define analytical approaches, scope data science components in partnership with PMs, and lead the technical direction of projects across multiple industries. Cross-Functional Collaboration: Work closely with data engineers, product managers, and business stakeholders to align on requirements, solution direction, and implementation plans. Data Exploration: Explore large and diverse datasets to uncover insights, evaluate feasibility, and guide model and feature design. Model Deployment: Collaborate with engineering teams to implement, optimize, and maintain machine learning models in production environments, ensuring scalability, performance, and reliability. Mentorship: Provide informal technical mentoring, conduct deep code/model reviews, and guide other data scientists in best practices—without direct people management. Communication: Present complex findings, trade-offs, and solution paths to technical teams, business partners, and customer stakeholders in a clear and concise manner. Continuous Improvement: Stay current with emerging data science, machine learning, and Gen AI advancements, applying new techniques to enhance solution quality and accelerate delivery. <br><br><br><br>Why We Think You’ll Love Teradata<br><br>We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.<br><br>Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>We are currently looking for&nbsp; dynamic, and self motivated Front Office professionals who want to move their careers forward.<br><br>As a Telephone Operator you are responsible to handle every phone call with importance to provide professional and customer focused response to our guests, ensuring their stay will become a memorable experience, whereby your role will include key responsibilities such as:<br><br>• Receive each guest call in a professional and friendly manner<br>• Maintain effective communication with all related department to ensure smooth service delivery<br>• Handle every query in a polite and courteous manner and exceed guest expectations<br>• Ensure guests are greeted by name upon calling as per the Rotana Standard<br>• Maintain an up to date knowledge of the hotel and local services<br>• Maintain an awareness of guest profile through the Opera guest profile system<br>• Complete management’s long distance call vouchers and record them on the traffic sheet<br>• Maintain the guest wake up call sheet and deliver calls accordingly on time and to the established standard<br>• Ensure the proper operation of the switchboard, resulting in fast and efficient transferring of internal and external calls<br>• Take messages for guests and management as per the required standard</p> </div>

<ul><li><p>Manage and coordinate daily tourism operations and tour arrangements.</p></li><li><p>Plan and organize tour itineraries according to clients’ requirements.</p></li><li><p>Handle hotel, transportation, tour guide, and other supplier bookings.</p></li><li><p>Coordinate with suppliers and ensure all services are confirmed and delivered as planned.</p></li><li><p>Follow up on reservations, confirmations, and amendments.</p></li><li><p>Handle operational issues and provide quick and effective solutions.</p></li><li><p>Ensure the smooth operation of tours from booking to completion.</p></li><li><p>Communicate with clients and suppliers professionally.</p></li><li><p>Negotiate with suppliers when required to ensure the best service and rates.</p></li><li><p>Monitor all operational details and ensure accuracy.</p></li><li><p>Support junior team members and assist them with operational issues.</p></li></ul><p></p><p><strong>Requirements</strong></p><p></p><ul><li><p>7–10 years of proven experience in Tourism Operations or as a Tour Operator.</p></li><li><p>Strong knowledge of tourism operations and travel arrangements.</p></li><li><p>Excellent knowledge of tour planning and itinerary preparation.</p></li><li><p>Experience dealing with hotels, transportation companies, tour guides, and suppliers.</p></li><li><p>Strong communication and negotiation skills.</p></li><li><p>Excellent problem-solving and decision-making skills.</p></li><li><p>Good command of English, both written and spoken.</p></li><li><p>Excellent organizational and time-management skills.</p></li><li><p>High attention to detail.</p></li><li><p>Good knowledge of MS Office.</p></li><li><p>Ability to work independently and as part of a team.</p></li></ul><p></p>

<ol><li><p>Undertake quality and design reviews of all&nbsp;architectural, interior design, landscape, and master planning&nbsp;deliverables across all project stages.</p></li><li><p>Verify&nbsp;compliance&nbsp;of design deliverables with the&nbsp;contract documents, applicable&nbsp;local and international codes,&nbsp;operator requirements, and&nbsp;client standards.</p></li><li><p>Prepare and issue&nbsp;consolidated Quality Review Reports, highlighting non‑compliances, risks, and recommendations, and tracking close‑out of comments.</p></li><li><p>Review and comment on deliverables prepared by&nbsp;specialist consultants&nbsp;(FLS, acoustics, MEP, Façade, LEED/sustainability, …etc.) to ensure consistency, coordination, and alignment with the overall design intent.</p></li><li><p>Review and interpret&nbsp;authorities’ requirements, ensuring that these are correctly reflected in the design and advising the team on implications where needed.</p></li><li><p>Support the project team in&nbsp;material selection, construction methodology, and&nbsp;procurement strategies&nbsp;to align quality, cost, and program objectives.</p></li><li><p>Assist in the&nbsp;value engineering&nbsp;process, proposing alternative design and material solutions that maintain design integrity while optimizing cost and performance.</p></li></ol><p>&nbsp;</p><p><strong>Requirements</strong></p><ul><li><p>Min. 10 years of experience in Quality control and Design Review</p></li><li><p>Experience in Consultancies.</p></li><li><p>LEED AP is considered an advantage.</p></li><li><p>Proficiency in&nbsp;Revit&nbsp;is mandatory.</p></li></ul><p></p>

<p><strong>Golden City Travel</strong> is seeking a motivated and detail-oriented<strong> Tour Operator</strong> to join our growing team. The ideal candidate will be passionate about travel and experienced in designing exceptional travel experiences across Egypt and international destinations.</p><h3>Key Responsibilities</h3><ul><li><p>Design and customize travel itineraries for individuals (FITs) and groups.</p></li><li><p>Prepare comprehensive travel programs, including accommodations, transportation, sightseeing, and other travel services.</p></li><li><p>Handle inbound travel requests and manage bookings from inquiry to completion.</p></li><li><p>Coordinate with hotels, airlines, transportation providers, guides, and other suppliers.</p></li><li><p>Provide destination expertise and professional travel recommendations.</p></li><li><p>Ensure all reservations and travel arrangements are accurate and well-organized.</p></li><li><p>Monitor bookings and operational requirements to ensure seamless trip execution.</p></li><li><p>Assist clients before, during, and after travel, providing excellent customer service.</p></li><li><p>Resolve operational issues efficiently and professionally when required.</p></li></ul><p></p><p><strong>Requirements</strong></p><ul><li><p>Previous experience in tourism, travel operations, or tour planning.</p></li><li><p>Strong knowledge of travel destinations, particularly Egypt.</p></li><li><p>Excellent communication and organizational skills.</p></li><li><p>Ability to manage multiple bookings and deadlines simultaneously.</p></li><li><p>Strong attention to detail and problem-solving abilities.</p></li><li><p>Proficiency in Microsoft Office and travel-related systems is an advantage.</p></li><li><p>Fluency in English; additional languages are a plus.</p></li><li><p>Applications from candidates without relevant experience will not be considered.</p></li></ul><p></p>

<p><strong>Key Responsibilities:</strong></p><p><strong><br></strong>• Responsible for weighing and accounting during grain entry/exit to ensure accurate data and clear records.<br>• Supervise grain entry/exit measurement, strictly execute weighing procedures, and prevent measurement errors.<br>• Participate in silo safety management and assist in handling anomalies in the weighing process.<br>• Complete other tasks assigned within the silo complex and abide by unified team dispatching.</p><p><strong>Requirements</strong></p><p><strong>Requirements:</strong></p><p><strong><br></strong>• Holds an officially recognized Egyptian weighing operator certificate with practical operating skills; familiar with the use and daily maintenance of weighbridges, electronic scales, and related equipment.<br>• 2+ years of weighing experience in grain silos, warehousing, or logistics; familiar with grain entry/exit workflows and capable of adapting to the silo work rhythm.<br>• Proficient in basic computer operation and weighing systems/office software for data entry, logbook management, and report generation.<br>• Meticulous and rigorous with numbers and a strong sense of responsibility to ensure zero error in measurement data.<br>• Strong collaborative spirit to work across teams and accept multi-tasking requirements.<br>• Compliant with all provisions under General Qualifications</p><p></p><p>Preferred Requirement</p><p>Comprehensive silo management experience; familiarity with relevant regulations and standards in the grain storage industry</p><p></p>

<p>Under direct supervision, performs necessary calculations for fluid mixing and pumping at the worksite as needed. Performs equipment rig-up and rig-down on worksite and the prepares equipment for performing a job. Ensures customer satisfaction with work performed. Responsible for chemical transfer and mixing systems operation and management of the chemical inventory at the worksite. As needed, performs data collection and data distribution on jobs. Coordinates and participates in clean up, repair, and preparation of equipment for the next job. Utilizes competency processes to enhance employee skills development and job performance. Job tasks, correctly performed, impact directly on cost containment, efficiency and profitability of operations. Skills are typically acquired through completion of HES career development requirements as Svc Operator l. Must possess exceptional skills within the service line and have a general understanding of other service functions. Must be knowledgable of HMS and HSE standards and guidelines for PSL personnel. Valid license to operate a motor vehicle is required. Promotes safety awareness and environmental consciousness. Promotes and takes an active part in quality improvement processes. Consequences of error are easily measured and can be confined.</p><p><strong>Desired Candidate Profile</strong></p><p><br></p>

<p>Under direct supervision, performs necessary calculations for fluid mixing and pumping at the worksite as needed. Performs equipment rig-up and rig-down on worksite and the prepares equipment for performing a job. Ensures customer satisfaction with work performed. Responsible for chemical transfer and mixing systems operation and management of the chemical inventory at the worksite. As needed, performs data collection and data distribution on jobs. Coordinates and participates in clean up, repair, and preparation of equipment for the next job. Utilizes competency processes to enhance employee skills development and job performance. Job tasks, correctly performed, impact directly on cost containment, efficiency and profitability of operations. Skills are typically acquired through completion of HES career development requirements as Svc Operator l. Must possess exceptional skills within the service line and have a general understanding of other service functions. Must be knowledgable of HMS and HSE standards and guidelines for PSL personnel. Valid license to operate a motor vehicle is required. Promotes safety awareness and environmental consciousness. Promotes and takes an active part in quality improvement processes. Consequences of error are easily measured and can be confined.</p><p><strong>Desired Candidate Profile</strong></p><p><br></p>

<p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <strong>Program Development &amp; Machine Optimization</strong></p><p></p><p>1.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Create, modify, and optimize SMT placement programs for machines such as Pick-and-Place (P&amp;P), Screen Printers, SPI, and AOI.</p><p>2.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Configure and fine-tune machine settings to improve component placement accuracy, throughput, and overall manufacturing efficiency.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <strong>Component &amp; Equipment Management</strong></p><p>1.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Develop and maintain component libraries for accurate identification and placement.</p><p>2.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Troubleshoot and resolve programming, equipment, and process-related issues to minimize downtime.</p><p>3.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Support equipment upgrades and ensure proper calibration and maintenance coordination.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <strong>Production Execution &amp; Process Control</strong></p><p>1.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Implement and monitor the production plan, ensuring adherence to SMT processes and product specifications.</p><p>2.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Analyze defective materials and production data to identify root causes, recommend corrective actions, and drive continuous improvement.</p><p>3.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Monitor KPIs such as throughput, yield, and downtime, taking proactive measures to optimize performance.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <strong>Collaboration &amp; Reporting</strong></p><p>1.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Work closely with engineering, design, quality, and maintenance teams to ensure smooth production flow and compliance with regulatory requirements.</p><p>2.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Prepare and present regular reports on production performance, issues, and progress to management.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <strong>Training &amp; Development</strong></p><p>1.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Assist in training and developing production staff on equipment usage, process adherence, and best practices.</p><p>2.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Promote a culture of safety, ensuring compliance with health, safety, and environmental regulations.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <strong>Projects &amp; New Product Introduction (NPI)</strong></p><p>1.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Manage and support projects related to process improvements, new technologies, and NPI.</p><p>2.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Create clear work instructions and documentation to support new products and process changes.</p><p>Ensure effective resource allocation (materials, labor, and equipment) to meet production goals.</p><p><strong>Requirements</strong></p><p></p><ul><li><p>Bachelor’s degree in engineering (Mechanical, Mechatronics)</p></li><li><p>1 To 3 Years of experience in the same position in the relevant field</p></li><li><p>Proficiency in Microsoft Office (Excel, Outlook, Word, and PowerPoint).</p></li><li><p>Familiarity with ERP is a plus</p></li><li><p>Excellent Command of Arabic &amp; English language skills.</p></li></ul><p></p>

<p><strong>About the Role</strong> We are seeking an experienced Engineering Manager to lead high-performing software engineering teams and ensure the successful delivery of scalable, secure, and high-quality software solutions. This role combines people leadership, technical leadership, and delivery management , working closely with Product, QA, DevOps, and executive stakeholders to drive engineering excellence and business success. <strong>Key Responsibilities</strong> Engineering Leadership Build, mentor, and lead high-performing engineering teams. Foster a culture of ownership, accountability, collaboration, and continuous learning. Conduct regular one-on-one meetings, performance reviews, feedback sessions, and career development discussions. Support engineers in achieving career growth and promotion objectives. Delivery &amp; Execution Own the execution of product roadmaps and ensure predictable, high-quality delivery. Improve sprint planning, estimation, prioritization, and engineering processes. Balance feature development, technical debt, operational support, and product quality. Identify and remove delivery blockers while managing cross-team dependencies. Technical Excellence Promote engineering best practices for architecture, coding standards, testing, maintainability, scalability, and reliability. Partner with Technical Leads and senior engineers to drive sound technical decisions and system design. Collaborate with QA teams to improve release quality, regression coverage, and defect prevention. Cross-Functional Collaboration Work closely with Product Managers, DevOps, QA, Delivery, and executive leadership to align engineering execution with business objectives. Support customer escalations while ensuring engineering teams remain focused on roadmap priorities. Participate in technical planning, project reviews, and continuous process improvement initiatives. Talent Acquisition &amp; Team Development Define hiring requirements for engineering teams. Conduct technical interviews and candidate evaluations. Support onboarding, coaching, succession planning, and engineering career frameworks.</p><p><strong>Desired Candidate Profile</strong></p><b>Qualifications</b> Required Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related field. Minimum 7 years of experience in Software Engineering. Previous experience leading software engineering teams. Strong understanding of Agile/Scrum methodologies and software delivery practices. Experience building and maintaining production software systems. Experience managing Backend, Frontend, Full Stack, Platform, or Machine Learning engineering teams. Strong leadership, coaching, and performance management skills. Excellent communication and stakeholder management abilities. Preferred Experience within SaaS, AI/ML, Enterprise Software, FinTech, or other regulated industries. Experience with Cloud platforms and/or On-Premises deployments. Knowledge of DevOps, CI/CD pipelines, Observability, and Site Reliability Engineering (SRE). Experience scaling engineering organizations and building engineering operating models. <b>Technical Skills</b> Software Engineering Software Architecture System Design Agile &amp; Scrum DevOps CI/CD Cloud Computing Product Engineering AI / Machine Learning SaaS Engineering Operations Technical Strategy <b>Core Competencies</b> Leadership &amp; People Management Coaching &amp; Mentoring Strategic Planning Project &amp; Delivery Management Stakeholder Management Decision Making Problem Solving Communication &amp; Collaboration Performance Management Continuous Improvement