front-end development engineer, valeo service

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front-end development engineer, valeo service Jobs in Cairo

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ai & automation engineer, light Jobs in Cairo

ai & automation engineer, light

ai engineer

Finaira

<div>
 The Principal AI Engineer provides technical leadership and direction for a team of AI Engineer, overseeing the end-to-end development and deployment of significant AI initiatives. This role involves driving technical strategy, setting best practices, mentoring team members, and ensuring the delivery of high-quality, impactful AI solutions that align with business objectives.
 
 
 
 Focus:
 
 End-to-End Initiative Leadership, AI/ML Strategy &amp; Mentorship
 
 
 
 The difference you will make:
 
 
 
 <ul>
 <li>
 Provide technical leadership, guidance, and mentorship to a team of AI Engineer
 </li>
 <li>
 Architect, design, and oversee the implementation of complex AI/ML systems and platforms from conception to production
 </li>
 <li>
 Drive the technical roadmap for AI projects, translating business requirements into technical specifications and actionable plans
 </li>
 <li>
 Champion best practices in AI/ML engineering, MLOps, software development, code quality, and testing
 </li>
 <li>
 Lead technical discussions, architectural reviews, and problem-solving sessions within the team and across departments
 </li>
 <li>
 Collaborate closely with product management, data science, and other engineering teams to define project scope, technical feasibility, and resource allocation
 </li>
 <li>
 Identify and evaluate new technologies, tools, and methodologies to enhance the team's capabilities and efficiency
 </li>
 <li>
 Conduct performance evaluations and provide constructive feedback to team members, contributing to their professional growth
 </li>
 <li>
 Act as a primary technical point of contact for stakeholders regarding AI solutions
 </li>
 <li>
 Hands-on contribution to critical code components, architectural design, and complex problem-solving
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 What you will bring to the role:
 
 
 
 
 Education:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Master's degree or Ph.D. highly preferred
 
 
 </li>
 </ul>
 
 Experience:
 
 
 
 <ul>
 <li>
 8+ years of extensive experience in AI/ML engineering, with at least 2-3 years in a technical leadership or lead engineer role, successfully leading significant AI projects from end-to-end
 
 
 </li>
 </ul>
 
 Technical Skills:
 
 
 
 <ul>
 <li>
 Expert proficiency in Python and deep expertise in multiple AI/ML frameworks (e.g., TensorFlow, PyTorch, Keras)
 </li>
 <li>
 Demonstrated experience in designing and implementing large-scale, production-grade AI systems, including distributed training and serving
 </li>
 <li>
 In-depth knowledge and practical experience with MLOps principles, tools, and platforms (e.g., Kubeflow, MLflow, Airflow, Docker, Kubernetes)
 </li>
 <li>
 Strong architectural skills for building robust, scalable, and maintainable AI infrastructures
 </li>
 <li>
 Proficiency in cloud environments (AWS, Azure, GCP) and their AI/ML services
 </li>
 <li>
 Excellent understanding of data engineering principles, data governance, and database technologies
 </li>
 <li>
 Ability to evaluate and make sound technical decisions on complex trade-offs
 
 
 </li>
 </ul>
 
 Soft Skills:
 
 
 
 <ul>
 <li>
 Exceptional leadership, communication, and presentation skills, with the ability to influence and persuade stakeholders at all levels, including executive leadership
 </li>
 <li>
 Proven ability to think strategically and translate complex business challenges into innovative and impactful data science initiatives
 </li>
 <li>
 Strong mentoring and coaching skills, with a passion for developing the talents of junior team members
 </li>
 <li>
 Excellent collaboration and negotiation skills, with the ability to work effectively across diverse, cross-functional teams and build strong relationships
 
 
 </li>
 </ul>
 Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.
</div>

Principal AI Engineer

Valeo

<div>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design end-to-end differentiable systems that jointly optimize sensor control, illumination patterns, and perception tasks (detection, segmentation)
 </li>
 <li>
 Develop domain adaptation techniques enabling synthetic-to-real transfer without retraining.
 </li>
 <li>
 Implement energy-aware AI models balancing perception quality with power constraints for embedded automotive deployment.
 </li>
 <li>
 Validate systems through real-world vehicle testing across diverse environmental conditions.
 </li>
 <li>
 Publish research at top-tier conferences (CVPR, ICCV, NeurIPS) while delivering production-ready solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or a related field.
 </li>
 <li>
 3+ years developing and deploying deep learning and reinforcement learning models
 </li>
 <li>
 Expert-level deep learning (PyTorch/TensorFlow) with custom architecture design.
 </li>
 <li>
 Strong background in object detection, semantic segmentation, neural rendering.
 </li>
 <li>
 Experience with domain adaptation, self-supervised learning, and model optimization for
 </li>
 <li>
 edge devices.
 </li>
 <li>
 Familiarity with ROS, simulation environments (CARLA, Applied Intuition, NVIDIA), and 3D
 </li>
 <li>
 rendering engines.
 </li>
 <li>
 Experience with automotive perception datasets (nuScenes, Waymo Open, KITTI) and
 </li>
 <li>
 benchmarks.
 </li>
 <li>
 Hands-on experience with automotive sensors (cameras, LiDAR, radar, thermal imaging).
 </li>
 <li>
 Knowledge of closed-loop control integration with neural networks.
 </li>
 <li>
 Proficiency in Python, C++, and CUDA programming.
 </li>
 </ul>
</div>

AI 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>
 Design end-to-end differentiable systems that jointly optimize sensor control, illumination patterns, and perception tasks (detection, segmentation)
 </li>
 <li>
 Develop domain adaptation techniques enabling synthetic-to-real transfer without retraining.
 </li>
 <li>
 Implement energy-aware AI models balancing perception quality with power constraints for embedded automotive deployment.
 </li>
 <li>
 Validate systems through real-world vehicle testing across diverse environmental conditions.
 </li>
 <li>
 Publish research at top-tier conferences (CVPR, ICCV, NeurIPS) while delivering production-ready solutions.
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 ~
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or a related field.
 </li>
 <li>
 3+ years developing and deploying deep learning and reinforcement learning models
 </li>
 <li>
 Expert-level deep learning (PyTorch/TensorFlow) with custom architecture design.
 </li>
 <li>
 Strong background in object detection, semantic segmentation, neural rendering.
 </li>
 <li>
 Experience with domain adaptation, self-supervised learning, and model optimization for
 </li>
 <li>
 edge devices.
 </li>
 <li>
 Familiarity with ROS, simulation environments (CARLA, Applied Intuition, NVIDIA), and 3D
 </li>
 <li>
 rendering engines.
 </li>
 <li>
 Experience with automotive perception datasets (nuScenes, Waymo Open, KITTI) and
 </li>
 <li>
 benchmarks.
 </li>
 <li>
 Hands-on experience with automotive sensors (cameras, LiDAR, radar, thermal imaging).
 </li>
 <li>
 Knowledge of closed-loop control integration with neural networks.
 </li>
 <li>
 Proficiency in Python, C++, and CUDA programming.
 
 
 </li>
 </ul>
 
 Position~
 
 
 
 AI4all, Engineering Disciplines
 
 
 
 D&eacute;partement~
 
 
 
 Software Development
 
 
 
 Schedule~
 
 
 
 Temps plein
 
 
 
 Employee Status~
 
 
 
 CDI
 
 
 
 Type de contrat~
 
 
 
 
 Job Posting Date~
 
 
 
 2026-03-18
 
 
 
 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>

TechLabs London

<div>
 
 About TechLabs London:
 
 
 
 At TechLabs London, we build cutting-edge digital products that power smarter, more connected organizations. Our flagship solution is transforming housing management with modern cloud technology, intuitive design, and seamless integration. We are now embedding
 
 AI and intelligent automation
 
 across our platforms &mdash; and this role is at the center of that mission. We&rsquo;re looking for a driven and creative
 
 AI Engineer
 
 to lead this charge with us, to deliver production-ready AI features, predictive analytics, and computer vision tools that unlock real business value.
 
 
 
 Job Purpose:
 
 As an AI Engineer you&rsquo;ll be responsible for the development, deployment, and optimisation of advanced AI and ML capabilities within TechLabs London. You will collaborate with cross-functional teams to embed intelligent solutions into our existing product suite and shape the next generation of AI-powered features across our platforms. This role is perfect for someone who&rsquo;s passionate about building practical AI solutions and wants to see their work improve lives, save time, and power decisions. You&rsquo;ll help the business translate complex challenges into intelligent, scalable solutions.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Design and build end-to-end AI pipelines across use cases such as predictive modelling, NLP, computer vision, and conversational AI.
 </li>
 <li>
 Design, develop and deploy conversational AI solutions using LLMs and agentic frameworks (e.g. LangChain, LangGraph), including RAG pipelines, intent classification, entity extraction, and multi-turn dialogue management.
 </li>
 <li>
 Apply computer vision to extract intelligence from images and videos for detection, classification, and automation.
 </li>
 <li>
 Develop time-series models that analyze behavior and generate predictive.
 </li>
 <li>
 Experiment with foundational models and fine-tune them for specific tasks relevant to our domain.
 </li>
 <li>
 Integrate models into production by working with our developers to deploy solutions into our products and beyond.
 </li>
 <li>
 Architect and build scalable, secure, and reusable ML APIs, workflows, and pipelines using modern MLOps practices and containerisation (Docker).
 </li>
 <li>
 Translate business problems into data-driven solutions, working closely with product, customer success, and engineering teams.
 </li>
 <li>
 Champion AI-first thinking across the company, supporting POCs, internal tooling, and customer-facing features.
 </li>
 <li>
 Collaborate with internal developers, product managers, domain experts, and external stakeholders to ensure solutions are feasible, maintainable, and impactful, as well as to define data strategies and model objectives.
 </li>
 <li>
 Conduct rigorous A/B testing and model evaluation.
 </li>
 <li>
 Support the integration of models into production systems using APIs and microservices.
 </li>
 <li>
 Stay abreast of advancements in AI/ML research and apply relevant breakthroughs to ongoing projects.
 
 
 
 </li>
 </ul>
 
 Skills and Experience:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in information technology, Software Engineering, Computer Science, or related field.
 </li>
 <li>
 Proven experience building and deploying LLM-powered applications, including RAG pipelines and conversational agents.
 </li>
 <li>
 Hands-on experience with LangChain or similar agentic frameworks (LangGraph, AutoGen, or equivalent).
 </li>
 <li>
 Strong proficiency in Python and relevant ML libraries (e.g. pandas, scikit-learn, PyTorch, spaCy, Hugging Face, OpenCV etc.)
 </li>
 <li>
 Experience with cloud platforms &mdash; Azure is our primary platform (preferred); AWS or GCP also considered.
 </li>
 <li>
 Containerization and orchestration: Docker, Docker Compose.
 </li>
 <li>
 Solid understanding of data modelling, feature engineering, and data warehousing concepts.
 </li>
 <li>
 Strong knowledge of SQL and experience with relational and/or vector databases (e.g. pgvector, Pinecone, Weaviate).
 </li>
 <li>
 Proficiency in version control, CI/CD, and model deployment practices.
 </li>
 <li>
 Experience integrating AI models into web or mobile applications is highly valued.
 </li>
 <li>
 Experience with MLOps tools like MLflow, Airflow, DVC.
 </li>
 <li>
 Familiarity with MCP Server (Model Context Protocol) for building tool-augmented AI agents is a plus.
 
 
 
 </li>
 </ul>
 
 Mindset &amp; Soft Skills:
 
 
 
 <ul>
 <li>
 Strong problem-solving and analytical thinking &mdash; able to translate messy real-world data into measurable solutions.
 </li>
 <li>
 Pragmatic and delivery-oriented &mdash; capable of balancing technical innovation with business impact.
 </li>
 <li>
 Communicative and collaborative &mdash; comfortable working across teams and disciplines.
 </li>
 <li>
 Self-driven &mdash; able to manage time, priorities, and project ownership in a fast-moving team.
 </li>
 <li>
 Knowledge of data governance, bias mitigation, and explainable AI techniques.
 </li>
 </ul>
</div>

AI& Data Engineer (Hybrid)

<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>

AI & Automation Engineer, LIGHT

Capgemini

<div>
 
 About Capgemini
 
 
 
 Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of &euro;22.1 billion.
 
 
 
 Job Description
 
 
 
 <ul>
 <li>
 Design and implement Agentic AI solutions and applications.
 </li>
 <li>
 Lead the end-to-end lifecycle of machine learning and data science delivery engagements, from data ingestion and feature engineering to model training, evaluation, and deployment.
 </li>
 <li>
 Monitor model performance and implement retraining strategies to ensure long-term accuracy and relevance.
 </li>
 <li>
 Architect and optimize scalable data pipelines and cloud-based infrastructures (Azure, AWS, GCP) to support ML workloads.
 </li>
 <li>
 Collaborate with data engineers to ensure robust data preprocessing, transformation, and storage strategies.
 </li>
 <li>
 Develop and maintain CI/CD pipelines tailored for ML workflows, including automated testing, model versioning, and deployment.
 </li>
 <li>
 Integrate monitoring and alerting systems to track model drift, data quality, and system performance.
 </li>
 <li>
 Work closely with cross-functional teams including data scientists, product managers, and business stakeholders to translate business needs into technical solutions.
 </li>
 <li>
 Mentor junior engineers and contribute to knowledge sharing and best practices across the team.
 
 
 </li>
 </ul>
 
 Job Requirements
 
 
 
 <ul>
 <li>
 6-10 years of experience working with complex datasets and solving real-world business problems using AI
 </li>
 <li>
 Proven track record of deploying and maintaining ML models in production environments and delivering AI solution architecture.
 </li>
 <li>
 Strong proficiency in Python, data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and agentic application development libraries (e.g. LangChain, LangGraph).
 </li>
 <li>
 Strong command of SQL and experience with large-scale data processing tools (e.g., Spark, Pandas).
 </li>
 <li>
 Deep understanding of cloud platforms (Azure, AWS, GCP) and their ML services.
 </li>
 <li>
 Skilled in MLOps practices including CI/CD, containerization (e.g. Docker), and orchestration (Kubernetes).
 </li>
 <li>
 Strong command of Git and collaborative development workflows.
 </li>
 <li>
 Excellent written and verbal communication skills, capable of conveying complex concepts to a variety of audiences.
 </li>
 <li>
 Fluent in Arabic &amp; English, both spoken and written (German is a plus!)
 </li>
 <li>
 Able to listen to and understand customer needs and articulate them as technical requirements to the team.
 </li>
 <li>
 Strong problem-solving abilities and attention to detail.
 </li>
 <li>
 Strategic thinking with the ability to align data science initiatives with business objectives.
 </li>
 <li>
 Strong leadership and team management skills with the ability to inspire and motivate.
 </li>
 <li>
 Ability to work collaboratively in a team environment.
 </li>
 <li>
 Self-motivated with a strong growth mindset.
 </li>
 </ul>
</div>

Senior Data Scientist - AI & ML Engineer

Intellias

<div>
 
 Dear Candidates,
 
 
 
 
 
 We are hiring for a Senior MLOps Engineer in Egypt.
 
 
 
 
 
 Exp: 5+ years
 
 
 Location: Egypt
 
 
 Notice Period: Any
 
 
 
 
 
 
 Skills Required: MLOps, ML, AI,
 
 
 
 
 
 
 
 Role:
 
 
 
 
 
 <ul>
 <li>
 5+ years of professional experience in MLOps, Machine learning engineering, or a similar role.
 </li>
 <li>
 Strong experience in Computer Vision, NLP, Generative AI demonstrated through relevant projects or research.
 </li>
 <li>
 Strong communication and interpersonal skills to collaborate effectively with cross-functional teams.
 </li>
 <li>
 Strong programming skills in languages such as Python or Rust.
 </li>
 <li>
 Experience in designing and implementing scalable machine learning pipelines for model training, validation, and deployment.
 </li>
 <li>
 Experience with cloud AI services (AWS / Azure / GCP)
 </li>
 <li>
 Experience managing and deploying model registry and feature store technologies.
 </li>
 <li>
 Experience with one or more data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo, etc.).
 </li>
 <li>
 Experience working with containerization technologies such as Docker and Kubernetes.
 </li>
 <li>
 Experience putting Deep Learning models into production with frameworks such as Pytorch or Tensorflow.
 </li>
 <li>
 Experience developing REST APIs using frameworks such as FastAPI or similar.
 </li>
 <li>
 Experience developing GenAI agents using libraries such as LangChain or similar.
 </li>
 <li>
 Experience in evaluating LLM agents, LLM observability, and agent memory management.
 </li>
 <li>
 Experience with infrastructure-as-code (IaC) tools such as Terraform.
 </li>
 <li>
 Master or higher degree in Computer Science, Engineering, or a related field.
 </li>
 </ul>
 
 
 
 
 
 Nice to have:
 
 
 <ul>
 <li>
 Experience of deploying LLM models on premise
 </li>
 <li>
 GCP Professional Machine Learning Engineer certification (not older than a year)
 </li>
 <li>
 Experience with data science projects
 </li>
 <li>
 Industry knowledge in retail, manufacturing, healthcare, energy, finance or telecom
 </li>
 </ul>
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Execution and guidance of technical POCs and projects
 </li>
 <li>
 Consulting, discovery phases and suggestions for executing the MLOps projects by following best practices and latest advancements in the field
 </li>
 <li>
 Cooperating on presales and upsales with rest of the team
 </li>
 <li>
 Participating in public speaking events
 </li>
 </ul>
 
 
 
 
 If you find above job description relevant to your profile the do DM me or forward me your resume on Ankita.Soni@intellias.com
 
 
 
 
 
 Regards,
 
 
 Ankita
 
 
 Ankita.Soni@intellias.com
 
</div>

Senior Machine Learning Engineer

Explore 160+ Ai engineer in Cairo this April. Find roles across top companies and apply now to boost your career.

160 ai engineer jobs In Cairo

Principal AI Engineer

AI Engineer, LIGHT

AI Engineer, LIGHT

AI& Data Engineer (Hybrid)

AI & Automation Engineer, LIGHT

Senior Data Scientist - AI & ML Engineer

Senior Machine Learning Engineer