system design engineer - model & simulation, light

ai engineer, light

junior system design engineer, light Jobs in Cairo

junior system design engineer, light

software engineer, power

system design engineer - model & simulation, light Jobs in Cairo

application engineer

junior system design engineer light

Valeo

<div>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Deliverables
 </li>
 <ul>
 <li>
 System architecture and justification
 </li>
 <li>
 Definition of the system and sub-systems
 </li>
 <li>
 Requirement specification of system and sub-systems
 </li>
 <li>
 Answer to Request for Quotation
 </li>
 <li>
 System risks list (Track and monitor system risks and issues in the project)
 </li>
 <li>
 Traceability matrix with customer requirements
 </li>
 <li>
 Test coverage matrix
 </li>
 </ul>
 <li>
 scheduling and budgeting
 </li>
 <ul>
 <li>
 To manage system deliverables on time
 </li>
 <li>
 To establish, update and respect system budget
 </li>
 </ul>
 <li>
 Coordination
 </li>
 <ul>
 <li>
 Supports and/or represents the R&amp;D PTM in front of the customer.
 </li>
 <li>
 Guaranties the system consistency during the design and validation phase
 </li>
 <li>
 Reviews the system specification with the implementation and test M&eacute;tiers
 </li>
 <li>
 Participate in project and system m&eacute;tier meetings.
 </li>
 <li>
 Applies environment Safety and Security procedures and good practices.
 </li>
 <li>
 Known for their activities and the subcontractors' activities, the potential risk and their consequences, is attentive and responsive to them and manages the associated action plans
 </li>
 </ul>
 <li>
 Education/Training
 
 </li>
 </ul>
 
 Bachelor&rsquo;s degree in Engineering (Relevant specialization), Computer Science.
 
 
 
 
 
 Education/Training
 
 
 
 
 
 Bachelor&rsquo;s degree in Engineering (Relevant specialization), Computer Science.
 
 
 
 
 
 Professional
 
 
 Experience
 
 
 
 
 
 0~1 Years experience in designing embedded electronic System for Automotive or Industrial applications
 
 
 
 
 Knowledge of modeling/simulation tools and requirement management tools is a plus.
 
 
 
 
 Knowledge of automotive communication buses.
 
 
 
 
 
 Languages
 
 
 
 
 
 Good command of the English language is a must.
 
 
 
 
 
 Other Specifications
 
 
 
 
 
 Familiar with requirement management tools like (DOORs/Codebeamer)
 
 
 
 
 Knowledge Of The Following Tools/Standards Is Plus
 
 
 
 <ul>
 <li>
 CatiaMagic, Matlab/Simulink and DSpace environment
 </li>
 <li>
 Cybersecurity knowledge ISO/SAE 21434
 </li>
 <li>
 Familiar with UDS 14229
 </li>
 <li>
 Familiar with safety ISO 2662
 </li>
 </ul>
</div>

Junior System Design Engineer, LIGHT

<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>
 Deliverables
 </li>
 <ul>
 <li>
 System architecture and justification
 </li>
 <li>
 Definition of the system and sub-systems
 </li>
 <li>
 Requirement specification of system and sub-systems
 </li>
 <li>
 Answer to Request for Quotation
 </li>
 <li>
 System risks list (Track and monitor system risks and issues in the project)
 </li>
 <li>
 Traceability matrix with customer requirements
 </li>
 <li>
 Test coverage matrix
 </li>
 </ul>
 <li>
 scheduling and budgeting
 </li>
 <ul>
 <li>
 To manage system deliverables on time
 </li>
 <li>
 To establish, update and respect system budget
 </li>
 </ul>
 <li>
 Coordination
 </li>
 <ul>
 <li>
 Supports and/or represents the R&amp;D PTM in front of the customer.
 </li>
 <li>
 Guaranties the system consistency during the design and validation phase
 </li>
 <li>
 Reviews the system specification with the implementation and test M&eacute;tiers
 </li>
 <li>
 Participate in project and system m&eacute;tier meetings.
 </li>
 <li>
 Applies environment Safety and Security procedures and good practices.
 </li>
 <li>
 Known for their activities and the subcontractors' activities, the potential risk and their consequences, is attentive and responsive to them and manages the associated action plans
 </li>
 </ul>
 <li>
 Education/Training
 
 </li>
 </ul>
 
 Bachelor&rsquo;s degree in Engineering (Relevant specialization), Computer Science.
 
 
 
 
 
 Education/Training
 
 
 
 
 
 Bachelor&rsquo;s degree in Engineering (Relevant specialization), Computer Science.
 
 
 
 
 
 Professional
 
 
 Experience
 
 
 
 
 
 0~1 Years experience in designing embedded electronic System for Automotive or Industrial applications
 
 
 
 
 Knowledge of modeling/simulation tools and requirement management tools is a plus.
 
 
 
 
 Knowledge of automotive communication buses.
 
 
 
 
 
 Languages
 
 
 
 
 
 Good command of the English language is a must.
 
 
 
 
 
 Other Specifications
 
 
 
 
 
 Familiar with requirement management tools like (DOORs/Codebeamer)
 
 
 
 
 Knowledge of the following tools/Standards is plus~
 
 
 
 <ul>
 <li>
 CatiaMagic, Matlab/Simulink and DSpace environment
 </li>
 <li>
 Cybersecurity knowledge ISO/SAE 21434
 </li>
 <li>
 Familiar with UDS 14229
 </li>
 <li>
 Familiar with safety ISO 2662
 
 
 </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>

sonnen Egypt

<div>
 
 Standort
 
 
 
 Cairo, EG
 
 
 
 Stellen-ID
 
 : 4758
 
 
 Join the energy revolution with #teamsonnen!
 
 
 At sonnen, we&rsquo;re driven by a clear goal: creating a future powered by clean, affordable energy for everyone. That&rsquo;s why we make our customers independent &ndash; not only from fossil fuels, but also from rising electricity costs.
 
 
 The key to this independence is our intelligent, all-in-one energy system. It combines solar panels, battery storage, energy tariffs, and wallboxes &ndash; all developed and manufactured in Germany.
 
 
 As the first and only provider in Germany, we also connect thousands of home batteries into one shared network: the sonnenVPP, our industry-leading virtual power plant.
 
 
 In short: every day, we&rsquo;re working to shape the energy future. And we&rsquo;d be thrilled to have you join us!
 
 
 We are seeking a Data Engineer (m/f/d) to join our team and play a pivotal role in enabling our Business Intelligence and Data Science teams. As a Data Engineer, you will be responsible for maintaining and enhancing our AWS-based analytics platform, provisioning data from various sources, and enabling the development and stable operation of analytical solutions. We&rsquo;re looking for someone who shares our values, who isn&rsquo;t afraid to challenge existing processes, and who would like to work on innovative solutions in a fast-moving environment. If this sounds like you, then don&rsquo;t hesitate to get in touch.
 
 
 
 What you will do to help drive the energy transition:
 
 
 
 <ul>
 <li>
 (Senior) Define and design the architecture of our analytics platform, ensuring scalability, performance, and reliability.
 </li>
 <li>
 You design and build scalable data pipelines, ETL processes, and data lake and data warehousing solutions to support our analytics solutions.
 </li>
 <li>
 You develop and maintain data integration processes with a variety of structured and unstructured data sources.
 </li>
 <li>
 You implement, test, and maintain infrastructural components of sonnen&rsquo;s analytics platform and deploy and maintain data models.
 </li>
 <li>
 You implement data quality checks and monitoring mechanisms to ensure accuracy, completeness, and consistency of data.
 </li>
 <li>
 You define coding principles and support data scientists and analysts in implementing algorithms into operational solutions.
 </li>
 <li>
 Adhere to stringent quality assurance and documentation standards, utilizing version control and code repositories such as Gitlab.
 </li>
 <li>
 You stay up to date with emerging trends and technologies in data engineering and assess their potential applications to our business needs.
 </li>
 <li>
 (Senior) Share your knowledge by coaching/pair coding with more junior engineers.
 
 
 </li>
 </ul>
 
 What You Will Need On That Journey
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science or a related technical field.
 </li>
 <li>
 +3 years of relevant employment experience in roles such as Data Scientist, Data Engineer, or Data Architect.
 </li>
 <li>
 +3 years of experience with ETL tools, Data Modeling, and Data Architecture.
 </li>
 <li>
 Experience with Big Data technologies such as Hadoop, Hive, and Spark.
 </li>
 <li>
 Ability to translate organizational goals into technical solutions.
 </li>
 <li>
 Experience with Infrastructure as Code (experience in Terraform and Ansible are a plus).
 </li>
 <li>
 Proficiency in Python, SQL, and NoSQL.
 </li>
 <li>
 Excellent communication and project management skills.
 
 
 </li>
 </ul>
 
 Stellensegment:
 
 Database, Project Manager, Data Warehouse, SQL, Quality Assurance, Technology
</div>

Data Engineer (m/f/d)

Premier Services and Recruitment

<div>
 
 
 Forward Deployed Engineer II
 
 
 
 
 Location:
 
 Maadi, Cairo, Egypt (Hybrid)
 
 
 We are seeking a
 
 Forward Deployed Engineer II
 
 to lead the technical deployment and integration of AI-driven enterprise solutions within banking and enterprise environments. In this role, you will collaborate directly with client IT, infrastructure, security, and business teams to design deployment architectures, build integrations, and ensure successful implementation and ongoing support of client environments.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Lead the deployment and lifecycle management of enterprise software solutions within client environments, including on-premises and highly secure infrastructures.
 </li>
 <li>
 Design deployment architectures, network topology, security requirements, integration points, and data flows.
 </li>
 <li>
 Develop and maintain technical documentation, including:
 </li>
 <li>
 API documentation
 </li>
 <li>
 Architecture diagrams
 </li>
 <li>
 Integration guides
 </li>
 <li>
 Deployment runbooks
 </li>
 <li>
 Environment handover documentation
 </li>
 <li>
 Update and rollback procedures
 </li>
 <li>
 Build and maintain integration components such as APIs, connectors, adapters, and automation scripts.
 </li>
 <li>
 Integrate solutions with enterprise platforms, including databases, messaging systems, ERP/CRM solutions, and internal APIs.
 </li>
 <li>
 Deploy and manage applications using Docker, Kubernetes, Linux, and related technologies.
 </li>
 <li>
 Manage software updates, patches, and configuration changes in production environments.
 </li>
 <li>
 Troubleshoot complex infrastructure, networking, and security issues involving VPNs, firewalls, proxies, certificates, authentication, and load balancers.
 </li>
 <li>
 Collaborate with Product, Engineering, DevOps, and Delivery teams to ensure seamless deployments and customer success.
 </li>
 <li>
 Participate in technical discovery sessions, solution design, and implementation planning.
 </li>
 <li>
 Identify opportunities to standardize deployment processes and improve delivery efficiency.
 </li>
 <li>
 Mentor junior engineers and contribute to technical best practices.
 </li>
 <li>
 Participate in on-call support and critical production escalations as required.
 </li>
 </ul>
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related field.
 </li>
 <li>
 2&ndash;4 years of experience in Solutions Engineering, Systems Integration, DevOps, Technical Implementation, Backend Engineering, or a similar role.
 </li>
 <li>
 Strong hands-on experience with
 
 Python
 
 and API development using frameworks such as
 
 FastAPI
 
 ,
 
 Django
 
 , or similar.
 </li>
 <li>
 Experience deploying and managing applications using
 
 Docker
 
 ,
 
 Kubernetes
 
 , and
 
 Linux
 
 .
 </li>
 <li>
 Experience working with on-premises, private cloud, or highly secure enterprise environments.
 </li>
 <li>
 Solid understanding of networking concepts, including VPNs, firewalls, proxies, DNS, TLS/SSL, load balancers, and certificate management.
 </li>
 <li>
 Experience integrating with enterprise systems such as REST/SOAP APIs, Oracle, SQL Server, ERP, CRM, or messaging platforms.
 </li>
 <li>
 Strong troubleshooting and analytical problem-solving skills.
 </li>
 <li>
 Excellent technical documentation and communication skills.
 </li>
 <li>
 Ability to work directly with client technical and business stakeholders.
 </li>
 <li>
 Willingness to travel to client sites when required.
 </li>
 </ul>
 
 
 Preferred Skills
 
 
 <ul>
 <li>
 Experience within banking, fintech, or enterprise software environments.
 </li>
 <li>
 Knowledge of enterprise security standards and infrastructure best practices.
 </li>
 <li>
 Familiarity with CI/CD pipelines and cloud technologies.
 </li>
 <li>
 Experience working in customer-facing technical delivery roles
 </li>
 </ul>
 
 
 
</div>

Forward Deployed Engineer II

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

<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
 
 
 
 The SysOps/SRE Lead is responsible for the implementation, architectural reliability, scalability, and operational health of the R&amp;D infrastructure worldwide. You will bridge the gap between development and operations by defining and applying engineering practices to system administration.
 
 
 As a Lead, you are the owner of the platform&rsquo;s and the architect of the team&rsquo;s operational excellence, ensuring that our global toolchain remains resilient under pressure. while Also planning, organizing, leading and controlling SRE Teams Implementation timeline and standards adherence.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Operational Excellence~ Define and manage the On-Call schedules and rotations, ensuring global coverage models are sustainable, fair, and optimized for rapid incident response.
 </li>
 <li>
 Incident Leadership~ Serve as the primary escalation point for critical infrastructure and critical applications production incidents. Lead "Blameless Post-Mortems" to identify root causes and ensure permanent remediation, also manage and investigate normal Application incidents according to the defined SLA/SLO.
 </li>
 <li>
 Health Oversight~ Define, implement and Maintain daily oversight of system health monitors and error budgets. You are expected to identify systemic weaknesses and performance regressions before they impact the end-user.
 </li>
 <li>
 Documentations~ Ensure Excellent documentation of implementations, runbooks, and best practices.
 </li>
 <li>
 Planning~ Drive the definition and planning and implementation of Program Increment (PI) related infrastructure activities. You will translate business requirements into technical roadmaps and ensure the team remains aligned with organizational milestones.
 </li>
 <li>
 Delivery Excellence~ Ensure the team meets defined schedules and technical benchmarks. You will balance the "50/50" SRE split&mdash;ensuring that at least half of the team&rsquo;s capacity is dedicated to engineering improvements rather than reactive toil.
 </li>
 <li>
 Standards &amp; Compliance~ Define and enforce standards for Cloud Center, security patching, and infrastructure-as-code (IaC). You hold the final approval for production readiness.
 </li>
 <li>
 Infrastructure Evolution~ Oversee the design of secure, multi-region AWS environments, focusing on high availability and cost-optimization. by fine tuning Systems/applications/infrastructure resources for best performance, while keeping cost lower
 </li>
 <li>
 Observability Framework~ Standardize our monitoring stack (Prometheus, Grafana, ELK) to move from basic alerting to proactive, functional observability.
 </li>
 <li>
 Mentorship~ Provide technical mentorship to junior and mid-level engineers, fostering a culture of automation, documentation, and continuous improvement.
 </li>
 <li>
 Reporting and Governance~ Define and report KPIs to asses platform health and service level End-2-End.
 
 
 </li>
 </ul>
 
 Qualifications/Technical Skills Required
 
 
 
 <ul>
 <li>
 Excellent knowledge in Windows/Linux Administration
 </li>
 <li>
 Excellent knowledge in AWS Preferred (Or any similar Cloud Providers)
 </li>
 <li>
 Excellent knowledge in Terraform and Ansible
 </li>
 <li>
 Excellent knowledge in Docker or any containerization technology
 </li>
 <li>
 Excellent knowledge in Jenkins
 </li>
 <li>
 Excellent knowledge in Kubernetes
 </li>
 <li>
 Excellent knowledge in observability tools
 </li>
 <li>
 Excellent knowledge in Git (Source control tools)
 </li>
 <li>
 Very Good knowledge in any scripting language for automations
 </li>
 <li>
 very good knowledge in SAFe/agile Methedologies
 </li>
 <li>
 English Language is a must
 </li>
 <li>
 Professional Experience of 8+ years is required
 
 
 </li>
 </ul>
 
 Position~
 
 
 
 R&amp;D Engineer
 
 
 
 D&eacute;partement~
 
 
 
 R&amp;D DSIS Applications Technical
 
 
 
 Schedule~
 
 
 
 Temps plein
 
 
 
 Employee Status~
 
 
 
 CDI
 
 
 
 Type de contrat~
 
 
 
 
 Job Posting Date~
 
 
 
 2025-06-01
 
 
 
 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>

SysOps/SRE Lead, GISACC

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