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ai & analytics - sr. software engineer with ai background - cairo Jobs in Cairo

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ai and automation analyst

<div>
 
 
 We're Hiring: AI &amp; Automation Analyst
 
 
 
 We are looking for an
 
 AI &amp; Automation Analyst
 
 to join our team. This is an exciting opportunity for professionals with a passion for Artificial Intelligence, Machine Learning, and Automation to contribute to innovative solutions that enhance business processes and drive digital transformation.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Analyze business needs and identify opportunities for AI and automation.
 </li>
 <li>
 Design, develop, and implement AI solutions and automated workflows.
 </li>
 <li>
 Build and deploy machine learning models and automation scripts.
 </li>
 <li>
 Collaborate with cross-functional teams to deliver business-driven technology solutions.
 </li>
 <li>
 Prepare, analyze, and manage data to support AI initiatives.
 </li>
 <li>
 Monitor, test, and continuously improve AI and automation solutions.
 </li>
 <li>
 Ensure compliance with data privacy and security standards.
 </li>
 </ul>
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Data Science, or a related field.
 </li>
 <li>
 1&ndash;3 years of experience in AI technologies, Machine Learning, and Automation.
 </li>
 <li>
 Proficiency in Python, R, or Java.
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills.
 </li>
 <li>
 Experience with automation tools and integrating AI solutions into business processes.
 </li>
 <li>
 Certifications in AI, Machine Learning, RPA, or PMP are considered an advantage.
 </li>
 <li>
 Experience within the FMCG industry is a plus.
 </li>
 </ul>
 
 
 
</div>

AI and Automation Analyst

Valeo

<div>
 Responsibilities Cross-Disciplinary Automation
 
 :
 
 Design and implement AI workflows that bridge the gap between Systems Engineering and downstream disciplines (HW, SW, Mech) to ensure seamless requirements traceability and consistency.
 
 
 Physics-Informed Modeling: Develop and deploy Physics-Informed Machine Learning (PIML) models to accelerate simulations in Mechanics and Electrotechnique.
 
 
 
 AI-Enhanced System Engineering
 
 : Integrate AI-assisted coding, automated unit testing, and bug prediction tools into the software development pipeline in compliance with ASPICE standards.
 
 
 
 Predictive Project Management
 
 : Build predictive analytics dashboards for Technical Project Managers to forecast resource bottlenecks, budget risks, and milestone delays using historical project data.
 
 
 
 Standards &amp; Compliance:
 
 Ensure all AI-automated processes and generated outputs adhere to ISO 26262 (Functional Safety) and ISO/SAE 21434 (Cybersecurity) requirements.
 
 
 
 Toolchain Integration
 
 : Lead the integration of AI agents with existing toolchains, including PLM, ALM (Codebeamer), and MATLAB/Simulink.
 
 
 Key competencies
 
 Technical Skills
 
 
 
 AI and Machine Learning
 
 
 <ul>
 <li>
 Generative AI &amp; LLMs
 </li>
 <li>
 Predictive Modeling
 </li>
 <li>
 Computer Vision
 
 
 </li>
 </ul>
 Data Engineering and Management
 
 
 <ul>
 <li>
 Data Pipeline Construction: Automating the flow of data into AI models.
 </li>
 <li>
 Data Quality Assurance: Cleaning and labeling datasets to ensure the AI isn't learning from "noise."
 
 
 </li>
 </ul>
 
 Process Automation &amp; Integration (MLOps)
 
 
 
 <ul>
 <li>
 Workflow Orchestration: Using tools to connect AI outputs to other R&amp;D software (like ELNs or LIMS).
 </li>
 <li>
 Deployment: Ensuring the AI tools are accessible via user-friendly interfaces.
 
 
 </li>
 </ul>
 
 Programming &amp; Scripting
 
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 Javascript / Google Apps Script
 </li>
 <li>
 Google Docs / Sheets functions &amp; automation
 </li>
 <li>
 HTTP rest API's
 
 
 </li>
 </ul>
 Tooling &amp; ALM: ( Plus Knowledge)
 
 
 <ul>
 <li>
 Codebeamer (Requirement Management Tool)
 </li>
 <li>
 Google Cloud Platform
 
 
 </li>
 </ul>
 Automation &amp; Integration concepts
 
 
 <ul>
 <li>
 AI &amp; Data Handling:
 </li>
 <li>
 Basic to intermediate experience with AI tools, APIs, or AI agents
 </li>
 <li>
 Interest in applying AI to engineering processes
 
 
 </li>
 </ul>
 Soft Skills
 
 
 <ul>
 <li>
 Strong communication and collaboration skills, including ability to translate technical AI capabilities into tangible benefits for the teams
 </li>
 <li>
 Ability to work autonomously and proactively
 </li>
 <li>
 Analytical mindset with strong problem-solving skills
 </li>
 <li>
 User-oriented mindset (training, support, feedback handling)
 </li>
 <li>
 Time Managment
 
 
 </li>
 </ul>
 Nice to Have
 
 
 Experience with requirement traceability or compliance activities
 
 
 Exposure to AI-assisted automation or low-code/no-code platforms
 
 
 Physics-Informed Machine Learning (PIML)
 
 
 Predictive Project Analytics
 
 
 Understanding of system engineering lifecycle and deliverables
 
 
 
 Aware About Automotive Industry And Embedded Systems.
 
 
 
 Years of Experience 2 to 3 years experience in AI &amp; tools development
</div>

System Design Engineer - AI & Automation, 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 Cross-Disciplinary Automation
 
 ~
 
 Design and implement AI workflows that bridge the gap between Systems Engineering and downstream disciplines (HW, SW, Mech) to ensure seamless requirements traceability and consistency.
 
 
 Physics-Informed Modeling~ Develop and deploy Physics-Informed Machine Learning (PIML) models to accelerate simulations in Mechanics and Electrotechnique.
 
 
 
 AI-Enhanced System Engineering
 
 ~ Integrate AI-assisted coding, automated unit testing, and bug prediction tools into the software development pipeline in compliance with ASPICE standards.
 
 
 
 Predictive Project Management
 
 ~ Build predictive analytics dashboards for Technical Project Managers to forecast resource bottlenecks, budget risks, and milestone delays using historical project data.
 
 
 
 Standards &amp; Compliance~
 
 Ensure all AI-automated processes and generated outputs adhere to ISO 26262 (Functional Safety) and ISO/SAE 21434 (Cybersecurity) requirements.
 
 
 
 Toolchain Integration
 
 ~ Lead the integration of AI agents with existing toolchains, including PLM, ALM (Codebeamer), and MATLAB/Simulink.
 
 
 Key competencies
 
 Technical Skills
 
 
 
 AI and Machine Learning
 
 
 <ul>
 <li>
 Generative AI &amp; LLMs
 </li>
 <li>
 Predictive Modeling
 </li>
 <li>
 Computer Vision
 
 
 </li>
 </ul>
 Data Engineering and Management
 
 
 <ul>
 <li>
 Data Pipeline Construction~ Automating the flow of data into AI models.
 </li>
 <li>
 Data Quality Assurance~ Cleaning and labeling datasets to ensure the AI isn't learning from "noise."
 
 
 </li>
 </ul>
 
 Process Automation &amp; Integration (MLOps)
 
 
 
 <ul>
 <li>
 Workflow Orchestration~ Using tools to connect AI outputs to other R&amp;D software (like ELNs or LIMS).
 </li>
 <li>
 Deployment~ Ensuring the AI tools are accessible via user-friendly interfaces.
 
 
 </li>
 </ul>
 Programming &amp; Scripting~
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 Javascript / Google Apps Script
 </li>
 <li>
 Google Docs / Sheets functions &amp; automation
 </li>
 <li>
 HTTP rest API's
 
 
 </li>
 </ul>
 Tooling &amp; ALM~ ( Plus Knowledge)
 
 
 <ul>
 <li>
 Codebeamer (Requirement Management Tool)
 </li>
 <li>
 Google Cloud Platform
 
 
 </li>
 </ul>
 Automation &amp; Integration concepts
 
 
 <ul>
 <li>
 AI &amp; Data Handling~
 </li>
 <li>
 Basic to intermediate experience with AI tools, APIs, or AI agents
 </li>
 <li>
 Interest in applying AI to engineering processes
 
 
 </li>
 </ul>
 Soft Skills
 
 
 <ul>
 <li>
 Strong communication and collaboration skills, including ability to translate technical AI capabilities into tangible benefits for the teams
 </li>
 <li>
 Ability to work autonomously and proactively
 </li>
 <li>
 Analytical mindset with strong problem-solving skills
 </li>
 <li>
 User-oriented mindset (training, support, feedback handling)
 </li>
 <li>
 Time Managment
 
 
 </li>
 </ul>
 Nice to Have
 
 
 Experience with requirement traceability or compliance activities
 
 
 Exposure to AI-assisted automation or low-code/no-code platforms
 
 
 Physics-Informed Machine Learning (PIML)
 
 
 Predictive Project Analytics
 
 
 Understanding of system engineering lifecycle and deliverables
 
 
 
 Aware About Automotive Industry And Embedded Systems.
 
 
 
 Years of Experience 2 to 3 years experience in AI &amp; tools development
 
 
 
 Position~
 
 
 
 AI4all, Engineering Disciplines
 
 
 
 D&eacute;partement~
 
 
 
 GTSC Software
 
 
 
 Schedule~
 
 
 
 Temps plein
 
 
 
 Employee Status~
 
 
 
 CDI
 
 
 
 Type de contrat~
 
 
 
 
 Job Posting Date~
 
 
 
 2026-04-07
 
 
 
 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>

Monks

<div>
 Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers).
 
 
 
 About The Role
 
 
 
 As a Data Analyst at Monks, you will work on designing, implementing, and maintaining robust data foundations that enable our clients to better understand marketing and product performance. You will help ensure that tracking, measurement, and analytics setups are accurate, scalable, and reliable, using tools such as Google Tag Manager, Google Analytics 4, Amplitude, Adobe Customer Journey Analytics, Adobe Launch, Piano Analytics, Firebase, and GCP. You will also be at the forefront of AI-driven innovation, helping to develop AI-powered automations and workflows that make data more accessible, actionable, and ready to support advanced analytics and machine learning initiatives.
 
 
 You should have a strong foundation in data literacy and the ability to translate technical requirements into practical business insights. Ideally, you have experience working with marketing, product, or digital analytics data, along with a solid understanding of data collection, tagging, measurement frameworks, data quality, and cloud technologies. While the role mainly focuses on analytics and data foundations, it also offers opportunities to contribute to AI automation, data engineering, and machine learning enablement projects.
 
 
 This role spans across the EMEA and MENA regions and involves close collaboration with our Analytics, Strategy, and Solutions Engineering teams. We offer a dynamic and challenging work environment at the forefront of AI-driven innovation in marketing. If you're passionate about pushing the boundaries of what&rsquo;s possible, we encourage you to apply!
 
 
 
 Responsibilities
 
 
 
 
 <ul>
 <li>
 Translate business requirements into technical requirements (measurement plans) and follow through with project execution
 </li>
 <li>
 Implement Analytics and/or Marketing tags through any given tag management tool (Google Tag Manager)
 </li>
 <li>
 Collaborate across client&rsquo;s global teams on the execution of analytics projects
 </li>
 <li>
 Ensure accountability across project teams delivering quality and timeliness and work to exceed baseline-level content and deadlines across defined scopes of work as well as new opportunities
 </li>
 <li>
 Support the Monks Data Team to improve service delivery capabilities and identify project growth opportunities
 </li>
 <li>
 Eager to develop and build AI automations in the analytics space
 </li>
 <li>
 Write simple SQL queries in cloud platforms to extract insights from large datasets
 </li>
 <li>
 Communicate basic technical concepts and results to both technical and non-technical stakeholders, including clients.
 
 
 
 </li>
 </ul>
 
 About You
 
 
 
 
 The essentials:
 
 
 
 
 <ul>
 <li>
 Bachelor's or Master's in a quantitative subject such as Computer Science or a related field.
 </li>
 <li>
 1+ years of working experience in data analytics or a related field.
 </li>
 <li>
 A good understanding of Google BigQuery is beneficial.
 </li>
 <li>
 Fluent English communication and written skills.
 </li>
 <li>
 Strong analytical and problem-solving skills with the ability to work independently and in a team environment.
 </li>
 <li>
 Strong data analysis abilities (knowledge of Python/JavaScript very beneficial)
 </li>
 <li>
 Strong analytical and consulting skills, rooted in the ability to draw and communicate insights from multiple data points
 </li>
 <li>
 Excellent consultative approach to developing and managing business relationships
 </li>
 <li>
 Ambition to perform unprecedented tasks and obtain new skills, be comfortable with uncertainty and adapt to a rapidly changing environment
 </li>
 <li>
 Ability and desire to scale knowledge and learning to other junior (and at times senior) team members
 
 
 
 </li>
 </ul>
 
 Not a Must, But a Plus
 
 
 
 
 <ul>
 <li>
 Bachelor's or Master's Degree in Computer Science.
 </li>
 <li>
 Previous agency or consultancy experience is a plus.
 </li>
 <li>
 GA4 Certification.
 </li>
 <li>
 Experience with marketing analytics tools and data (e.g. Google Analytics, Adobe Analytics).
 </li>
 <li>
 Familiarity with social data and AI tools (e.g. Instagram, Facebook, TikTok, ChatGPT, Claude, Gemini, etc).
 </li>
 <li>
 Knowledge of digital advertising industry practices and client verticals (retail, finance, etc.) is a plus.
 </li>
 <li>
 Experience with Data Studio or any visualisation tool
 
 
 
 </li>
 </ul>
 
 At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants from all backgrounds who are excited to contribute to our mission.
 
 
 
 
 About Monks
 
 
 
 Monks is the global, digital-first, data-driven, unitary operating brand of S4 Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global Marketing and Technology Services to redefine how brands interact with the world. Through Monks.Flow, its flagship AI ecosystem for marketing orchestration, Monks transforms marketing into a growth engine, collapsing timelines and connecting brands to culture in real time. By deploying bespoke intelligent agents across disciplines and delivering culturally relevant, high-impact creative and digital solutions, Monks solves key critical business challenges across the entire brand enterprise to help brands sustain long-term impact.
 
 
 Monks was named a Contender in The Forrester Wave&trade;: Global Marketing Services, ranks among Cannes Lions' Top 10 Creative Companies (2022-25) and remains the only partner featured in AdExchanger&rsquo;s Programmatic Power Players list every year (2020-24). Named Adweek&rsquo;s first AI Agency of the Year (2023) and The One Show&rsquo;s inaugural AI Pioneer Organization, Monks was also awarded Business Intelligence Group&rsquo;s 2025 Excellence in Artificial Intelligence Award in both the Organizational and AI Product categories. As a trusted partner to cutting-edge innovators in tech, Monks earned titles such as Optimizely Experimentation Partner of the Year (2025), runner-up for the Adobe Firefly Partner Award (2024), and Workato&rsquo;s AI Visionary Customer Impact Award (2024). Additionally, Monks achieved a record-breaking number of FWAs and continues to hold the most of any partner.
 
 
 We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents&mdash;and resonates with&mdash;the world around us.
 
 
</div>

Data Analyst

Future Group Language Solutions

<div>
 
 About The Role
 
 
 
 We are looking for an
 
 Applied AI Engineer
 
 to design, build, and deploy intelligent AI solutions that solve real business challenges. In this role, you'll work with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), GraphRAG, AI agents, and knowledge graphs to create scalable, production-ready AI applications.
 
 
 This is an
 
 AI-first engineering role
 
 , where leveraging AI development tools such as ChatGPT, Cursor, GitHub Copilot, Claude, or Windsurf is an essential part of the development workflow.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy AI-powered applications using LLMs.
 </li>
 <li>
 Build and optimize RAG and GraphRAG pipelines.
 </li>
 <li>
 Develop AI agents and multi-agent workflows for business automation.
 </li>
 <li>
 Design and manage knowledge graphs using GraphDB technologies.
 </li>
 <li>
 Integrate enterprise data sources with AI applications.
 </li>
 <li>
 Engineer prompts, workflows, and agent orchestration for reliable AI systems.
 </li>
 <li>
 Evaluate and optimize AI models for quality, latency, scalability, and cost.
 </li>
 <li>
 Build production-ready APIs and AI services.
 </li>
 <li>
 Collaborate with cross-functional teams to deliver AI-driven products.
 </li>
 <li>
 Stay up to date with the latest AI models, frameworks, and best practices.
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Software Engineering, AI, or a related field.
 </li>
 <li>
 3+ years of experience developing AI-powered or data-intensive applications.
 </li>
 <li>
 Strong proficiency in Python.
 </li>
 <li>
 Hands-on experience with LLMs (OpenAI, Azure OpenAI, Anthropic, Gemini, or similar).
 </li>
 <li>
 Experience implementing Retrieval-Augmented Generation (RAG).
 </li>
 <li>
 Experience with Graph Databases such as Neo4j, Amazon Neptune, Memgraph, or GraphDB.
 </li>
 <li>
 Familiarity with vector databases such as Pinecone, Qdrant, Weaviate, Milvus, or pgvector.
 </li>
 <li>
 Experience integrating AI models through APIs and SDKs.
 </li>
 <li>
 Solid understanding of REST APIs, Git, Docker, and cloud platforms (Azure, AWS, or GCP).
 </li>
 <li>
 Strong analytical, debugging, and problem-solving skills.
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with GraphRAG architectures.
 </li>
 <li>
 Knowledge of AI agent frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or OpenAI Agents SDK.
 </li>
 <li>
 Experience with Model Context Protocol (MCP).
 </li>
 <li>
 Prompt engineering and AI evaluation frameworks.
 </li>
 <li>
 Knowledge of semantic search and hybrid retrieval.
 </li>
 <li>
 Experience with FastAPI, Django, or Flask.
 </li>
 <li>
 Familiarity with Kubernetes, CI/CD pipelines, and microservices.
 </li>
 <li>
 Experience building knowledge graphs and ontology design.
 
 
 
 </li>
 </ul>
 What We Offer
 
 
 <ul>
 <li>
 Opportunity to build cutting-edge AI products.
 </li>
 <li>
 Collaborative and innovative engineering environment.
 </li>
 <li>
 Exposure to the latest AI technologies and frameworks.
 </li>
 <li>
 Professional growth and continuous learning opportunities.
 </li>
 <li>
 Competitive salary and benefits package.
 
 
 
 </li>
 </ul>
 Join Our Team
 
 
 If you're passionate about building practical AI applications, enjoy working with the latest AI technologies, and thrive in an AI-first development environment, we'd love to hear from you!
</div>

Applied AI Engineer (AI-First / Vibe Coding)

<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>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Deploy and maintain secure cloud infrastructure primarily on GCP (Google Cloud Platform) and AWS, ensuring seamless integration between services.
 </li>
 <li>
 Manage and optimize GKE (Google Kubernetes Engine) clusters for high-availability AI applications and microservices.
 </li>
 <li>
 Infrastructure as Code: Build and enforce Terraform strategies to provision and manage infrastructure, ensuring environments are reproducible and version-controlled.
 </li>
 <li>
 CI/CD &amp; Software Verification: Design and implement advanced CI/CD workflows using GitHub Actions, moving beyond simple deployments to create intelligent automation.
 </li>
 <li>
 Build robust verification pipelines that include automated testing, linting, security scanning, and quality gates before production release.
 </li>
 <li>
 Streamline the release process for backend and frontend applications, ensuring "one-click" reliability.
 </li>
 <li>
 Oversee the deployment, maintenance, and backup strategies for databases.
 </li>
 <li>
 Implement comprehensive monitoring and logging solutions (Prometheus, Grafana, Cloud Ops, Cloud Monitoring) to ensure system health, performance, and rapid incident response.
 </li>
 <li>
 Implement security best practices (IAM, VPC configuration, encryption) to protect sensitive AI data and intellectual property.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 
 Education &amp; Experience
 
 
 
 
 <ul>
 <li>
 B.Sc. or M.Sc. in Computer Science, Computer Engineering, or a related technical field.
 </li>
 <li>
 5+ years of relevant experience in DevOps, Cloud Engineering, or Site Reliability Engineering (SRE).
 </li>
 <li>
 Proven experience acting as a Senior or Lead engineer, guiding architectural decisions.
 
 
 </li>
 </ul>
 
 
 Technical Requirements
 
 
 
 
 <ul>
 <li>
 Advanced hands-on experience with GCP (specifically GKE, VPC, IAM) and a working knowledge of AWS.
 </li>
 <li>
 Proven ability to design and implement robust, scalable, and secure cloud architectures.
 </li>
 <li>
 Mastery of Docker and Kubernetes administration.
 </li>
 <li>
 Strong proficiency in Terraform.
 </li>
 <li>
 Expert knowledge of GitHub Actions for building, test, build, and deploy pipelines.
 </li>
 <li>
 Experience managing PostgreSQL and ClickHouse databases.
 </li>
 <li>
 Deep understanding of Linux System Administration.
 </li>
 <li>
 Experience with AI/ML lifecycle tools (e.g., Kubeflow, MLflow, Vertex AI).
 </li>
 <li>
 Strong proficiency in Python and Bash scripting.
 </li>
 <li>
 Familiarity with DevSecOps tools and practices.
 </li>
 <li>
 Bonus: Official GCP Certifications (e.g., Professional Cloud Architect, Professional Cloud DevOps Engineer) and Kubernetes Certifications (e.g., CKA, CKAD, CKS) are highly preferred.
 </li>
 <li>
 Bonus: Knowledge of Javascript/Node.js is a strong plus.
 
 
 </li>
 </ul>
 
 
 Soft Skills &amp; Mindset
 
 
 
 
 <ul>
 <li>
 Ability to design long-term solutions rather than quick fixes.
 </li>
 <li>
 Excellent ability to explain complex cloud concepts to Data Scientists and business stakeholders.
 </li>
 <li>
 Comfortable working in a fast-paced environment with evolving requirements.
 </li>
 <li>
 Fluent English is a must.
 </li>
 </ul>
</div>

Senior DevOps Engineer, AI4ALL

Explore 114+ Ai and automation analyst in Cairo this August. Find roles across top companies and apply now to boost your career.

114 ai and automation analyst jobs In Cairo

AI and Automation Analyst

System Design Engineer - AI & Automation, LIGHT

System Design Engineer - AI & Automation, LIGHT

Data Analyst

Applied AI Engineer (AI-First / Vibe Coding)

AI Engineer, AI4ALL

Senior DevOps Engineer, AI4ALL