estimation engineer

ai engineer - remote

application engineer

contracts engineer

engineering coordinator

research and development engineer

Valeo

<div>
 Valeo est une entreprise mondiale de haute technologie qui con&ccedil;oit des solutions r&eacute;volutionnaires pour r&eacute;inventer la mobilit&eacute;. Nous sommes un &eacute;quipementier partenaire des constructeurs automobiles et des acteurs de la nouvelle mobilit&eacute; dans le monde entier. Notre vision ? Inventer une mobilit&eacute; plus verte et plus s&ucirc;re, gr&acirc;ce &agrave; des solutions ax&eacute;es sur la conduite intuitive et la r&eacute;duction des &eacute;missions de CO2. Nous sommes leaders dans nos domaines d'activit&eacute; et reconnus comme l'une des plus grandes entreprises innovantes au monde.
 
 
 
 
 Mission
 
 
 
 
 Our mission is to revolutionize existing and new Valeo products, tools and processes by harnessing the power of cutting-edge generative AI. We aim to drive unprecedented efficiency across Valeo product portfolio, reducing development costs and achieving a new level of intelligent automation.
 
 
 Through relentless research, we design and build a robust and adaptable AI framework that seamlessly integrates into our current workflow.
 
 
 We are committed to fostering a collaborative environment where researchers, engineers, and product teams work in unison to explore innovative solutions. We believe that by strategically integrating AI, we can optimize internal processes, streamline workflows, and drive long-term success within Valeo's existing and new product landscape.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop &amp; re-use the core AI components of the framework.
 </li>
 <li>
 Implement APIs, models, optimize for performance, and integrate with adjacent systems.
 </li>
 <li>
 Conduct various testing (Unit Test, API Testing, Load Testing, &hellip;) for the developed components.
 </li>
 <li>
 Document all the developed components.
 </li>
 <li>
 Deploy developed products and maintain them.
 
 
 </li>
 </ul>
 
 
 Education/Training
 
 
 
 
 <ul>
 <li>
 B.Sc. in Communication, Mechatronics, Electronics or Computer Engineering.
 </li>
 <li>
 B.Sc. in Computer science
 
 
 </li>
 </ul>
 
 
 Professional
 
 
 Experience
 
 
 
 
 <ul>
 <li>
 2-5 Years of experience.
 </li>
 <li>
 Knowledge of AI/ML and GenAI.
 </li>
 <li>
 Knowledge and development for cloud platforms (GCP, AWS) is a plus.
 
 
 </li>
 </ul>
 
 Position~
 
 
 
 R&amp;D Engineer
 
 
 
 D&eacute;partement~
 
 
 
 Software Development
 
 
 
 Schedule~
 
 
 
 Temps plein
 
 
 
 Employee Status~
 
 
 
 CDI
 
 
 
 Type de contrat~
 
 
 
 
 Job Posting Date~
 
 
 
 2026-06-02
 
 
 
 Join Us !
 
 
 Being part of our team, you will join~
 
 
 <ul>
 <li>
 one of the largest global innovative companies, with more than 20,000 engineers working in Research &amp; Development
 </li>
 <li>
 a multi-cultural environment that values diversity and international collaboration
 </li>
 <li>
 more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
 </li>
 <li>
 a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development
 
 
 </li>
 </ul>
 More information on Valeo~ https~//www.valeo.com
 
</div>

AI Engineer, AI4ALL

<div>
 Valeo est une entreprise mondiale de haute technologie qui con&ccedil;oit des solutions r&eacute;volutionnaires pour r&eacute;inventer la mobilit&eacute;. Nous sommes un &eacute;quipementier partenaire des constructeurs automobiles et des acteurs de la nouvelle mobilit&eacute; dans le monde entier. Notre vision ? Inventer une mobilit&eacute; plus verte et plus s&ucirc;re, gr&acirc;ce &agrave; des solutions ax&eacute;es sur la conduite intuitive et la r&eacute;duction des &eacute;missions de CO2. Nous sommes leaders dans nos domaines d'activit&eacute; et reconnus comme l'une des plus grandes entreprises innovantes au monde.
 
 
 
 
 Responsibilities~
 
 
 
 
 <ul>
 <li>
 Design/Review detailed requirements.
 </li>
 <li>
 Apply Valeo/general MBD standards &amp; guidelines.
 </li>
 <li>
 Perform data typing for all model signals &amp; blocks with respect to fixed point techniques.
 </li>
 <li>
 Generate C-code using Embedded coder toolbox.
 </li>
 <li>
 Design MATLAB testing scenarios for model verification.
 </li>
 <li>
 Perform Model in the loop verification.
 </li>
 <li>
 Perform Software in the loop verification (back to back testing).
 </li>
 <li>
 Develop tools to increase the efficiency of the MBD life cycle and the quality.
 </li>
 <li>
 Follow defined project processes/guidelines/checklists and ensure process conformance.
 </li>
 <li>
 Report work progress continuously through attendance of daily &amp; weekly project internal meetings.
 </li>
 <li>
 Contribute effectively in the continuous improvement of his/her project, team, and work environment by submitting improvement proposals whenever possible.
 </li>
 <li>
 Raise flags proactively for any issue that can impact his/her project or team.
 </li>
 <li>
 Communicate professionally and autonomously with the customer and the team members.
 </li>
 <li>
 Perform all the activities using the agreed internal/external configuration management tool.
 </li>
 <li>
 Provide technical trainings to team and other entities
 </li>
 <li>
 Perform technical review of MBD architectural design and software specification.
 </li>
 <li>
 Perform technical reviews on the different project&rsquo;s activities
 </li>
 <li>
 Coach and train other team member on MBD engineering methodology
 </li>
 <li>
 Develop software function list and organizing them into delivery phases to ensure maximum value delivered to the customer with each phase
 </li>
 <li>
 Review software specification with implementation and test functions
 </li>
 <li>
 Establish, update and maintain software risks and issues list
 </li>
 <li>
 Provide traceability to customer requirements
 </li>
 <li>
 Provide software deliverables on time and respect budget
 
 
 </li>
 </ul>
 
 
 Job Prerequisites~
 
 
 
 
 <ul>
 <li>
 2+ years of relevant experience
 </li>
 <li>
 Education ~ B.Sc. in Mechatronics, Electronics, Mechanical, or Electrical Engineering. M.Sc. or Ph.D. is a plus.
 </li>
 <li>
 Very Good MATLAB/Simulink/Stateflow Scripting and Modelling Skills with proven experience
 </li>
 <li>
 Good knowledge in Control Law and Thermodynamics
 </li>
 <li>
 Good knowledge about software engineering (requirement, design, development, verification and validation)
 </li>
 <li>
 Basic electronics knowledge
 </li>
 <li>
 Automatic Control, Motor Drives &amp; Electric Motors experience is a plus
 </li>
 <li>
 Automotive SPICE knowledge is a plus
 
 
 </li>
 </ul>
 
 Position~
 
 
 
 R&amp;D Engineer
 
 
 
 D&eacute;partement~
 
 
 
 Software Development
 
 
 
 Schedule~
 
 
 
 Temps plein
 
 
 
 Employee Status~
 
 
 
 CDI
 
 
 
 Type de contrat~
 
 
 
 Annual Contract
 
 
 
 Job Posting Date~
 
 
 
 2025-11-19
 
 
 
 Join Us !
 
 
 Being part of our team, you will join~
 
 
 <ul>
 <li>
 one of the largest global innovative companies, with more than 20,000 engineers working in Research &amp; Development
 </li>
 <li>
 a multi-cultural environment that values diversity and international collaboration
 </li>
 <li>
 more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
 </li>
 <li>
 a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development
 
 
 </li>
 </ul>
 More information on Valeo~ https~//www.valeo.com
 
</div>

Software engineer - Model Based Development, POWER

<div>
 Valeo est une entreprise mondiale de haute technologie qui con&ccedil;oit des solutions r&eacute;volutionnaires pour r&eacute;inventer la mobilit&eacute;. Nous sommes un &eacute;quipementier partenaire des constructeurs automobiles et des acteurs de la nouvelle mobilit&eacute; dans le monde entier. Notre vision ? Inventer une mobilit&eacute; plus verte et plus s&ucirc;re, gr&acirc;ce &agrave; des solutions ax&eacute;es sur la conduite intuitive et la r&eacute;duction des &eacute;missions de CO2. Nous sommes leaders dans nos domaines d'activit&eacute; et reconnus comme l'une des plus grandes entreprises innovantes au monde.
 
 
 
 
 Responsibilities
 
 ~
 
 
 
 <ul>
 <li>
 Develop software requirements by gathering the project's different stakeholders&rsquo; requirements, consolidating them and identifying any conflicting requirements.
 </li>
 <li>
 Participate in system and customer requirements analysis for new products. Responsible for system and customer requirements analysis for projects that have a high reuse factor.
 </li>
 <li>
 Participate in high level design architecture definition for the new products. Responsible for high level design for the projects that have a high reuse factor.
 </li>
 <li>
 Design complicated software component(s) based on defined high-level design.
 </li>
 <li>
 Integrate overall software components based on the project&rsquo;s architecture. This can include traveling to customer sites to ensure smooth delivery.
 </li>
 <li>
 Perform technical reviews on software component design, code, and component test, and integrate test strategy and plan.
 </li>
 <li>
 Present work progress continuously through active participation of daily &amp; weekly project meetings (Internal and external with other Valeo sites)
 </li>
 <li>
 Develop the work breakdown structure and contribute to the estimation of the different project&rsquo;s activities.
 </li>
 <li>
 Contribute effectively in the improvement of standard process, guidelines, checklists, and tools.
 </li>
 <li>
 Ensures the efficiency of the validation techniques and standards used by projects
 </li>
 <li>
 Perform the responsibilities of the previous technical level as per the projects need.
 </li>
 <li>
 Extensive experience in ASPICE-compliant software development, with a strong understanding of quality processes in automotive or embedded systems.Support in performing software integration on the test bench and on the vehicle to ensure the proper functionality.
 </li>
 <li>
 Analyze the test reports and issues reported from the customer and lead the action plan to resolve them ensuring customer satisfaction.
 </li>
 <li>
 Lead local the warranty issue related to SW and capitalize LLC with PG.
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 ~
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
 </li>
 <li>
 0-1 years of experience in automotive embedded software development.
 </li>
 <li>
 Proficiency in C/C++ programming languages for embedded systems in addition to experience with scripting languages like Python.
 </li>
 <li>
 Experience with microcontrollers like Renesas, NXP, Aurix.
 </li>
 <li>
 Strong understanding of AUTOSAR architecture, including concepts such as service-oriented communication and application lifecycle management is a plus.
 </li>
 <li>
 Experience with using Vector tools (CANoe, Davinci, VTest Studio, etc) with different types of automotive communication protocols such as LIN, CAN, and Ethernet.
 </li>
 <li>
 Experience with hardware interfacing protocols used in embedded systems including UART, SPI, I2C.
 </li>
 <li>
 Experience with software development tools and methodologies, such as version control systems (e.g., Git), application lifecycle management (e.g. Codebeamer), defect management system, and agile development practices.
 </li>
 <li>
 Experience with requirements management tools (e.g. Codebeamer, DOORS).
 </li>
 <li>
 Strong experience using debugging tools like scopes, logical analyzers, etc.
 </li>
 <li>
 Experience with software automatic and manual testing and test report analysis.
 </li>
 <li>
 Excellent problem-solving and analytical skills, with a strong attention to detail.
 </li>
 <li>
 Effective communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
 
 
 </li>
 </ul>
 
 
 Other Specifications
 
 
 
 
 <ul>
 <li>
 Experience in software development for lighting systems in the automotive industry is highly desirable.
 </li>
 <li>
 Knowledge of cybersecurity concepts and best practices for automotive software development is a plus.
 </li>
 <li>
 Experience with continuous integration/continuous deployment (CI/CD) pipelines and automated testing frameworks for automotive software.
 
 
 </li>
 </ul>
 
 
 Job~
 
 
 
 
 
 R&amp;D Engineer
 
 
 
 
 
 Discipline~
 
 
 
 
 
 Software
 
 
 
 
 
 Location~
 
 
 
 
 
 Cairo, Egypt
 
 
 
 
 
 Schedule~
 
 
 
 
 
 Full time
 
 
 
 
 Position~
 
 
 
 Engineering Disciplines
 
 
 
 D&eacute;partement~
 
 
 
 GTSC Software
 
 
 
 Schedule~
 
 
 
 Temps plein
 
 
 
 Employee Status~
 
 
 
 CDI
 
 
 
 Type de contrat~
 
 
 
 
 Job Posting Date~
 
 
 
 2026-02-26
 
 
 
 Join Us !
 
 
 Being part of our team, you will join~
 
 
 <ul>
 <li>
 one of the largest global innovative companies, with more than 20,000 engineers working in Research &amp; Development
 </li>
 <li>
 a multi-cultural environment that values diversity and international collaboration
 </li>
 <li>
 more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
 </li>
 <li>
 a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development
 
 
 </li>
 </ul>
 More information on Valeo~ https~//www.valeo.com
 
</div>

Junior Software Engineer, LIGHT

Arrow Electronics

<div>
 
 Position
 
 
 
 Data Scientist / Senior Machine Learning Engineer
 
 
 
 Job Description
 
 
 
 
 Position Overview:
 
 
 
 As Data Scientist / Senior Machine Learning Engineer at Arrow Electronics, you will assume a pivotal role in driving our data science and machine learning initiatives to reach unprecedented heights. Collaborating closely with cross-functional multinational teams, your responsibilities will encompass the end-to-end machine learning lifecycle, including stakeholder communications, data analysis, designing, development, deployment, and optimization of cutting-edge models aimed at addressing intricate challenges and generating actionable insights. Your expertise in data analysis, model development, and deployment will be crucial in shaping the future of our company.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains.
 </li>
 <li>
 Data Analysis: Explore and analyze large datasets to extract meaningful insights and identify trends, anomalies, and patterns.
 </li>
 <li>
 Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics and fine-tune models for optimal results.
 </li>
 <li>
 Deployment: Lead the deployment of machine learning models into production environments and ensure scalability and efficiency.
 </li>
 <li>
 Cross-functional Collaboration: Collaborate closely with business stakeholders, software engineers, data engineers, and domain experts to integrate machine learning solutions into our products and services.
 </li>
 <li>
 Mentorship: Provide guidance and mentorship to junior data scientists and machine learning engineers, fostering a culture of continuous learning and growth.
 </li>
 <li>
 Research and Innovation: Stay up-to-date with the latest advancements in the field of data science and machine learning and apply innovative techniques to solve complex challenges.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Proven experience (2 to 5 years) in developing and deploying machine learning models in a production environment.
 </li>
 <li>
 Proficiency in programming languages, especially Python, and experience with data-related libraries such as pandas, matplotlib, NumPy, etc.
 </li>
 <li>
 Strong knowledge of machine learning frameworks and libraries.
 </li>
 <li>
 Expertise in data preprocessing, feature engineering, and model selection.
 </li>
 <li>
 Familiarity with large language models and AI agent design.
 </li>
 <li>
 Experience with text-based NLP, information extraction, entity recognition, and text-related data science tasks is highly desirable.
 </li>
 <li>
 Strong communication skills and the ability to convey technical concepts to non-technical stakeholders.
 </li>
 <li>
 Experience with vectorized databases and unstructured search engines is a plus.
 </li>
 <li>
 A Master&rsquo;s degree in computer science, Statistics, Data Science, or a related field is a plus.
 </li>
 <li>
 Publications or contributions to open-source projects are a plus.
 
 
 </li>
 </ul>
 If you are a passionate and experienced Data Scientist / Senior Machine Learning Engineer who thrives on solving challenging problems and wants to make a significant impact in the field, we encourage you to apply and join our dynamic team at Arrow Electronics Together, we will drive innovation and shape the future of data science and machine learning.
 
 
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Data Scientist / Senior Machine Learning Engineer

Infomineo

<div>
 
 
 About us
 
 
 
 Infomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence. We&rsquo;ve evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise. We offer 3 services to our global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights and Resource Scaling. This is made possible by relying on 3 pillars of excellence:
 
 
 
 
 <ol>
 <li>
 350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona).
 </li>
 <li>
 Our proprietary AI orchestrator.
 </li>
 <li>
 Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions.
 </li>
 </ol>
 
 
 
 
 Ready to kick start your career with us?
 
 
 
 Why Infomineo? Here&rsquo;s what sets us apart:
 
 
 <ul>
 <li>
 
 Shape the Future of Business Insights:
 
 You will be at the forefront, leading the design and implementation of AI-driven solutions that automate tasks and drive efficiency across our entire service spectrum (Business Research, Content, Design, and Data Analytics).
 </li>
 <li>
 
 Work with Global Leaders:
 
 Our clients are industry leaders &mdash; Fortune 500s, top consultancies, governments, and NGOs. You will take ownership of delivering technical solutions that directly support their success.
 </li>
 <li>
 
 Lead in AI &amp; Technology:
 
 We foster continuous learning and technical excellence. You will stay ahead of the latest advancements in AI and software engineering, and actively drive innovation across the team.
 </li>
 <li>
 
 Thrive in a Collaborative Culture:
 
 We value intellectual curiosity, leadership, and a can-do attitude. You will be encouraged to mentor others, contribute strategic ideas, and make a lasting impact on the company&rsquo;s growth.
 </li>
 </ul>
 
 
 
 
 
 About this role:
 
 
 
 We are seeking an experienced and technically strong individual to join us as
 
 Senior AI Software Engineer.
 
 In this role, you will take ownership of designing, developing, and deploying AI-powered data products and analytical applications that serve our internal teams and global clients. You will lead data science and AI initiatives, define best practices for applied AI and analytical solution development, and collaborate closely with engineering, product, and business stakeholders. While the role is primarily data science and AI-focused, you will also leverage your full-stack development background to build production-ready applications, integrate AI capabilities, and support cloud-based deployment.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 Data Science, AI &amp; Applied R&amp;D:
 
 
 <ul>
 <li>
 Lead the design and development of AI-powered analytical solutions, data products, and intelligent applications that solve complex business problems.
 </li>
 <li>
 Translate business and client requirements into data science approaches, AI workflows, and scalable technical solutions.
 </li>
 <li>
 Design, prototype, and productionize machine learning, LLM, and generative AI solutions with a focus on business value, reliability, and usability.
 </li>
 <li>
 Own the architecture of Retrieval-Augmented Generation (RAG) pipelines, including document processing, vectorization, semantic search, evaluation, and query optimization for enterprise use cases.
 </li>
 <li>
 Design and implement complex AI-powered features by integrating LLM APIs and services using frameworks such as LangChain or equivalent, with a focus on reliability, accuracy, and performance in production.
 </li>
 <li>
 Design, implement, and maintain Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and data sources, enabling context-aware and extensible AI solutions.
 </li>
 <li>
 Develop evaluation frameworks, monitoring approaches, and observability practices for LLM-powered systems to ensure quality, transparency, and continuous improvement.
 </li>
 <li>
 Apply advanced prompt engineering, embedding strategies, and vector database management techniques to improve the performance of AI solutions.
 </li>
 <li>
 Integrate AI outputs into analytical workflows, dashboards, reporting tools, and client delivery pipelines.
 </li>
 </ul>
 
 
 
 
 
 Full-Stack Application Development:
 
 
 <ul>
 <li>
 Design and contribute to the development of production-grade AI and data applications, primarily using Python and backend frameworks such as FastAPI.
 </li>
 <li>
 Build or support frontend interfaces using modern frameworks such as React, Next.js, or Vue to make AI and data products accessible to business users and clients.
 </li>
 <li>
 Collaborate with software engineers to define scalable application architectures, API standards, and integration patterns.
 </li>
 <li>
 Develop and maintain REST API integrations with third-party AI services, enterprise SaaS platforms, internal tools, and external data sources.
 </li>
 <li>
 Ensure that data science prototypes are translated into maintainable, secure, and scalable production solutions.
 </li>
 <li>
 Participate in code reviews, define technical best practices, and contribute to a high-quality engineering and data science culture.
 </li>
 </ul>
 
 
 
 
 
 Cloud, Deployment &amp; MLOps:
 
 
 <ul>
 <li>
 Support the containerization and cloud deployment of AI and data applications, preferably on Google Cloud Platform using GKE and Artifact Registry, while remaining adaptable to other cloud environments.
 </li>
 <li>
 Design and maintain CI/CD pipelines using GitHub Actions or equivalent tools to ensure reliable and repeatable releases.
 </li>
 <li>
 Apply MLOps and LLMOps practices to manage experimentation, deployment, monitoring, and continuous improvement of AI systems.
 </li>
 <li>
 Collaborate with engineering and infrastructure teams to ensure the reliability, scalability, and performance of production environments.
 </li>
 <li>
 Proactively identify performance bottlenecks in AI workflows, data pipelines, application layers, and infrastructure.
 </li>
 </ul>
 
 
 
 
 
 Technical Leadership &amp; Collaboration:
 
 
 <ul>
 <li>
 Lead applied AI and data science initiatives from discovery and prototyping through production deployment.
 </li>
 <li>
 Mentor junior data scientists, AI engineers, and developers on data science methods, AI integration, coding practices, and production readiness.
 </li>
 <li>
 Work closely with product teams, consultants, analysts, and non-technical stakeholders to ensure solutions are aligned with business needs.
 </li>
 <li>
 Define standards and best practices for AI solution design, evaluation, documentation, and delivery.
 </li>
 <li>
 Communicate complex technical concepts clearly to both technical and non-technical audiences.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 4 to 6 years of experience in data science, AI development, applied machine learning, or related technical roles, with hands-on experience delivering production-grade AI or data products.
 </li>
 <li>
 Strong proficiency in Python, with experience using data science, machine learning, and AI libraries and frameworks.
 </li>
 <li>
 Solid full-stack development background, including experience with backend frameworks such as FastAPI and modern frontend frameworks such as React, Next.js, or Vue.
 </li>
 <li>
 Deep understanding of LLMs, RAG architectures, generative AI workflows, and production-grade AI service integration, including tools such as OpenAI, Gemini, LangChain, or equivalent.
 </li>
 <li>
 Proven experience designing and implementing Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and enterprise data sources.
 </li>
 <li>
 Experience building analytical workflows, dashboards, data pipelines, or AI-powered decision-support tools in a client delivery or enterprise context.
 </li>
 <li>
 Hands-on experience with Docker and cloud deployment on at least one major cloud platform such as GCP, AWS, Azure, or equivalent.
 </li>
 <li>
 Familiarity with container orchestration, artifact management, CI/CD pipelines, GitHub Actions, GitOps workflows, and branching strategies.
 </li>
 <li>
 Strong understanding of LLM observability, AI evaluation, performance monitoring, and production reliability practices.
 </li>
 <li>
 Demonstrated ability to lead technical initiatives, mentor junior team members, and collaborate effectively with product teams and business stakeholders.
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Software Engineering, Statistics, Applied Mathematics, or a related field.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills:
 
 
 <ul>
 <li>
 Experience with agentic AI frameworks such as LangGraph or similar orchestration tools for building multi-step AI workflows.
 </li>
 <li>
 Knowledge of advanced prompt engineering, vector database management, embedding model optimization, and AI evaluation techniques.
 </li>
 <li>
 Experience with MLOps or LLMOps practices, including experiment tracking, model monitoring, and AI quality evaluation.
 </li>
 <li>
 Experience with Infrastructure as Code tools such as Terraform or Pulumi.
 </li>
 <li>
 Experience designing data models, analytical pipelines, or BI/dashboard solutions.
 </li>
 <li>
 Relevant certifications such as Google Cloud Professional Data Engineer, Google Cloud Professional Machine Learning Engineer, Google Cloud Professional Developer, or similar cloud and AI credentials.
 </li>
 </ul>
 
 
 
 
 
 What we offer:
 
 
 <ul>
 <li>
 A competitive compensation and benefits package.
 </li>
 <li>
 The opportunity to lead AI and technology initiatives with real global impact.
 </li>
 <li>
 A dynamic and supportive work environment that values leadership, innovation, and your contributions.
 </li>
 <li>
 Continuous learning and professional development opportunities to propel your career forward in AI and software engineering.
 </li>
 </ul>
 
 
 
 
 
 Application Process:
 
 
 
 Candidates are invited to submit a resume, cover letter, and any relevant portfolio or GitHub links showcasing their experience in web application development, AI integration, and cloud deployment. Shortlisted candidates will undergo a technical assessment and interview to demonstrate their skills and technical leadership capabilities.
 
 
 
 
 
 
 Infomineo: Where brilliant minds meet to shape the future of business.
 
 
 
 
</div>

AI & Analytics - Sr. Software Engineer with AI Background - Cairo

Dsquares

<div>
 Dsquares is not just a loyalty program provider; we specialize in crafting loyalty solutions that deliver unforgettable experiences, ensuring customers keep returning. From concept to execution, we handle the entire loyalty journey, turning brands into cherished favorites.
 
 
 Our tech-savvy team is driven by a passion for innovation, empowering businesses to cultivate lasting relationships with their clients.
 
 
 
 Our team is the core of Dsquares. We believe that exceptional people create exceptional solutions. Our culture is founded on openness, empowerment, and a collective passion for delivering extraordinary customer experiences. Join us and be part of a team that's redefining loyalty programs.
 
 
 
 
 More than rewards, we create experiences. And more than customers, we build advocates.
 
 
 
 
 About the role:
 
 
 
 As a Senior DevOps Engineer your role combines Engineering and coding skills to create , develop, test and deploy software systems within the company, you will also be working closely with our development teams to optimize application architectures for cloud environments, emphasizing scalability, availability, and performance.
 
 
 
 Duties &amp; Responsibilities:
 
 
 
 <ul>
 <li>
 Develop and maintain CI/CD pipelines to automate the build, test, and deployment processes, ensuring the rapid and reliable delivery of software
 </li>
 <li>
 Work closely with development teams to optimize application architectures for cloud environments, emphasizing scalability, availability, and performance
 </li>
 <li>
 Implement and manage containerization and orchestration platforms (e.g., Docker, Kubernetes) to facilitate efficient deployment and scaling of applications
 </li>
 <li>
 Monitor and troubleshoot application and infrastructure performance issues, responding to incidents and identifying opportunities for optimization
 </li>
 <li>
 Implement and enforce security best practices, ensuring the integrity and confidentiality of data within the environment. Maintain configuration management tools to ensure consistency across various environments and servers
 </li>
 <li>
 Research and recommend new technologies and tools to enhance the DevOps process and infrastructure
 </li>
 <li>
 Document processes, procedures, and configurations to facilitate knowledge sharing and onboarding of new team members
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Required Skills &amp; Abilities:
 
 
 
 <ul>
 <li>
 Proficiency in CI/CD tools (e.g., Jenkins, GitLab CI/CD, CircleCI) and configuration management tools (e.g., Ansible, Terraform)
 </li>
 <li>
 Familiarity with scripting languages (e.g., Bash, Python) and automation frameworks
 </li>
 <li>
 Strong knowledge of networking, security, and monitoring practices in a DevOps context.
 </li>
 <li>
 Problem-solving mindset and ability to troubleshoot complex technical issues
 
 
 </li>
 </ul>
 
 Education &amp; Experience:
 
 
 
 <ul>
 <li>
 Bachelor's or higher degree in Computer Science, Information Technology, or related field
 </li>
 <li>
 1 - 2 years of experienve as a DevOps Engineer or similar role, with a strong understanding of software development and IT operations
 </li>
 <li>
 Experience with containerization and orchestration tools such as Docker and Kubernetes
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Private Medical Insurance &amp; life cover
 </li>
 <li>
 Transportation &amp; Mobile Allowance Benefit
 </li>
 <li>
 Annual profit share
 </li>
 <li>
 Hybrid working environment
 </li>
 <li>
 Inclusive working environment with enhanced maternity and paternity benefits
 </li>
 <li>
 Work and organizational culture which values learning
 </li>
 <li>
 Regular perks such as company social, wellbeing &amp; CSR events
 </li>
 <li>
 Your Birthday Off
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 <li>
 Extra day of leave for every year of completion
 </li>
 </ul>
</div>

DevOps Engineer

<div>
 Valeo est une entreprise mondiale de haute technologie qui con&ccedil;oit des solutions r&eacute;volutionnaires pour r&eacute;inventer la mobilit&eacute;. Nous sommes un &eacute;quipementier partenaire des constructeurs automobiles et des acteurs de la nouvelle mobilit&eacute; dans le monde entier. Notre vision ? Inventer une mobilit&eacute; plus verte et plus s&ucirc;re, gr&acirc;ce &agrave; des solutions ax&eacute;es sur la conduite intuitive et la r&eacute;duction des &eacute;missions de CO2. Nous sommes leaders dans nos domaines d'activit&eacute; et reconnus comme l'une des plus grandes entreprises innovantes au monde.
 
 
 <ul>
 <li>
 Develop and qualify wiping/lighting functions using Model Based Systems Engineering approach
 </li>
 <li>
 Define lighting functions according to customer needs and develop simulation models using MATLAB/Simulink/Stateflow
 </li>
 <li>
 Define use cases and simulate the functions model according to them for up front verification.
 </li>
 <li>
 Simulate the lighting function in the complete environment at vehicle level
 </li>
 <li>
 Realize fast prototyping applications and Demo Cars for upfront verification
 </li>
 <li>
 Support RFQ and establish compliance and choice matrix.
 </li>
 <li>
 Contribute to innovative Model Based Systems Engineering projects
 </li>
 <li>
 Redesign specification models in compliance with VLS standards.
 </li>
 <li>
 Ensure technology transfer from P3 to P2&amp;P1 projects in compliance with System and Software Metier constraints.
 </li>
 <li>
 Inspires and encourages colleagues to apply intelligently customized best practices.
 </li>
 <li>
 Contribute to Develop, qualify and maintain VWS/ VLS standard Library
 </li>
 <li>
 Identify system functions diversity, dependencies and constraints in order to define reusable subsystems and blocks.
 </li>
 <li>
 Define specific test cases to qualify libraries behavior and improve libraries robustness.
 </li>
 <li>
 Support Model Based Design Implementation Engineer during standardization phase.
 </li>
 <li>
 Ensure the full coverage of the specific test cases to qualify libraries behavior and improve libraries robustness.
 </li>
 <li>
 Ensure the coverage level of the Implementation Model aligned with Model Development Methodology &amp; Strategy
 </li>
 <li>
 Code Generation and Ensure Quality of Deliverables
 </li>
 <li>
 Support Code generation from Implementation Model using Embedded Coder.
 </li>
 <li>
 Ensure the Compliance with Model Advisor Rules
 </li>
 <li>
 Ensure Compliance of source code with Valeo Coding Rules and MISRA for auto generated Code
 </li>
 <li>
 Contribute to build and deploy VWS/VLS Model Based Systems Engineering Design standards
 </li>
 <li>
 Develop simulation methodologies and tools.
 </li>
 <li>
 Perform model Peer reviews across VWS/VLS projects to ensure project consistency
 </li>
 <li>
 Perform technical reviews on new functions.
 </li>
 <li>
 Perform technical reviews on innovative functions before implementation during transition phase (P3 to P1 projects).
 </li>
 <li>
 Education / Training
 
 
 </li>
 </ul>
 
 System/Electronics/Software/MBD/MBSE Engineer
 
 
 
 
 
 Professional Experience
 
 
 
 
 
 System experience for a minimum of 2~3 years in SW/System domain in Automotive industry~ Model Based Systems Engineering (MBSE) or Model Based Design (MBD) approach.
 
 
 Fast prototyping systems
 
 
 Development in embedded systems
 
 
 Methodology development knowledge (V cycle)
 
 
 Knowledge of automotive communication bus (Ethernet, CAN, LIN), Diagnostic.
 
 
 
 
 
 Languages
 
 
 
 
 
 The English language is mandatory.
 
 
 
 
 
 Other Specifications
 
 
 
 
 
 
 Knowledge about the following tools is a must~
 
 
 
 
 <ul>
 <li>
 MATLAB/Simulink/Stateflow
 
 
 </li>
 </ul>
 
 
 Knowledge about the following tools/Concepts is a plus~
 
 
 
 
 <ul>
 <li>
 Control Law Theory
 </li>
 <li>
 DOORS/CodeBeamer
 </li>
 <li>
 dSPACE MicroAutoBox, CATIAMagic, SCANeR,
 </li>
 <li>
 Automotive communication buses~ Ethernet /CAN / LIN network and associated tools (CANoe, CANdela, &hellip;)
 </li>
 </ul>
 <ul>
 <li>
 Ensure the coverage level of the tests~ MIL on Implementation Model (Back to Back), SIL, PIL
 </li>
 <li>
 Support SW Integrator for the Integration phase of the functions developed in Model
 
 
 </li>
 </ul>
 
 Position~
 
 
 
 Engineering Disciplines
 
 
 
 D&eacute;partement~
 
 
 
 GTSC Software
 
 
 
 Schedule~
 
 
 
 Temps plein
 
 
 
 Employee Status~
 
 
 
 CDI
 
 
 
 Type de contrat~
 
 
 
 
 Job Posting Date~
 
 
 
 2026-02-26
 
 
 
 Join Us !
 
 
 Being part of our team, you will join~
 
 
 <ul>
 <li>
 one of the largest global innovative companies, with more than 20,000 engineers working in Research &amp; Development
 </li>
 <li>
 a multi-cultural environment that values diversity and international collaboration
 </li>
 <li>
 more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
 </li>
 <li>
 a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development
 
 
 </li>
 </ul>
 More information on Valeo~ https~//www.valeo.com
 
</div>

System Design Engineer - Model & simulation, LIGHT

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