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technical support engineer

ai engineer light

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

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

<div>
 
 The Principal AI Engineer provides technical leadership and direction for a team of AI Engineers, 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 Engineers.
 </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>
 
 
 
 
 What you will bring to the role
 
 
 Education: Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Master's degree or Ph.D. highly preferred.
 
 
 
 
 
 Experience: 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.
 
 
 
 
 
 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. o 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>
 Strong ownership and accountability for assigned work.
 </li>
 <li>
 Clear and professional verbal and written communication.
 </li>
 <li>
 Effective time management and task prioritization.
 </li>
 <li>
 Analytical thinking and problem-solving skills.
 </li>
 <li>
 Ability to work independently, collaborate effectively and mentor junior team members.
 </li>
 <li>
 Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.
 </li>
 <li>
 Adaptability and learning agility in a fast-paced environment.
 </li>
 <li>
 Strong attention to detail and a commitment to quality.
 </li>
 <li>
 Receptiveness to feedback and continuous improvement mindset.
 </li>
 </ul>
</div>

NOK Human Capital

<div>
 
 
 About NOK HC
 
 
 
 NOK Human Capital is a leading HR consulting and talent acquisition firm with a global footprint and a proven track record of supporting Fortune 500 clients. We specialize in connecting top-tier talent with industry leaders, driving innovation, and fostering high-performance cultures across the MENA region and beyond.
 
 
 
 
 
 
 Job Title
 
 
 
 
 AI &amp; Data Automation Engineer
 
 
 
 
 
 
 
 Job Summary
 
 
 
 We are looking for a skilled
 
 AI &amp; Data Automation Engineer
 
 to design and build intelligent automation and analytics solutions. In this role, you will develop AI-powered workflows, scalable data pipelines, and interactive analytics applications to enhance decision-making and eliminate manual processes. You will work closely with cross-functional teams to translate business needs into efficient, data-driven solutions and enable self-service analytics across the organization.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design and build AI-powered workflows and automation solutions to enhance business processes
 </li>
 <li>
 Develop scalable data pipelines for data ingestion, transformation, validation, and publishing
 </li>
 <li>
 Build and deploy AI/ML and LLM-based use cases such as classification, anomaly detection, and insight generation
 </li>
 <li>
 Create interactive, web-based analytics applications to support business and operational decision-making
 </li>
 <li>
 Integrate backend systems, APIs, and data layers to enable self-serve analytics platforms
 </li>
 <li>
 Replace manual reporting and static dashboards with automated, application-based solutions
 </li>
 <li>
 Ensure data quality, consistency, and scalability across data models and analytics systems
 </li>
 <li>
 Collaborate with cross-functional teams to translate business needs into technical solutions
 </li>
 <li>
 Enable data-driven decision-making by delivering actionable insights and scalable data products
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Science, Software Engineering, or a related field
 </li>
 <li>
 2&ndash;4 years of experience in software engineering, data engineering, automation, or AI/ML roles
 </li>
 <li>
 Strong proficiency in Python, with hands-on experience building production-grade pipelines and automation systems
 </li>
 <li>
 Solid SQL skills with experience handling large-scale datasets
 </li>
 <li>
 Experience or exposure to AI/ML concepts, including LLMs, prompt engineering, or AI-powered workflows
 </li>
 <li>
 Familiarity with cloud platforms, preferably AWS (e.g., Lambda, Step Functions, Glue, S3, Bedrock, SageMaker)
 </li>
 <li>
 Experience building data pipelines or scheduled/event-driven workflows (e.g., Airflow, cron)
 </li>
 <li>
 Exposure to frontend technologies (e.g., React) is a plus
 </li>
 <li>
 Familiarity with data warehouses and distributed systems (e.g., Redshift, Athena, Spark)
 </li>
 <li>
 Strong problem-solving skills with the ability to translate business needs into technical solutions
 </li>
 <li>
 Ability to work independently and deliver end-to-end solutions
 </li>
 <li>
 Excellent communication skills in English (written and spoken)
 </li>
 </ul>
 
 
 
 
 
 Work Conditions
 
 
 <ul>
 <li>
 Location: New Cairo
 </li>
 <li>
 Work Type: Onsite
 </li>
 </ul>
</div>

AI Data Engineer

<div>
 
 The
 
 Senior Fullstack Engineer
 
 is a key contributor within the
 
 TP.ai FAB
 
 ecosystem, responsible for building robust, scalable, and secure software solutions that integrate with AI and data-driven components.
 
 
 This role focuses on hands-on development across both front-end and back-end layers, ensuring interoperability, performance, and user experience across FAB&rsquo;s modular architecture.
 
 
 The engineer collaborates with peers, architects, and AI teams to deliver production-ready applications that align with Teleperformance&rsquo;s design, security, and global delivery standards.
 
 
 
 
 
 &bull; End-to-End Development
 
 
 <ul>
 <li>
 Develop, test, and deploy fullstack applications, microservices, and APIs integrated with FAB&rsquo;s data and AI components.
 </li>
 <li>
 Implement responsive, modular front-end interfaces using modern JavaScript frameworks.
 </li>
 <li>
 Maintain high code quality, scalability, and performance across distributed systems.
 </li>
 </ul>
 
 
 &bull; Collaboration &amp; Delivery
 
 
 <ul>
 <li>
 Work closely with Software Architects, Data Engineers, and Product Managers to translate requirements into efficient solutions.
 </li>
 <li>
 Participate in design reviews, sprint planning, and daily scrums within agile squads.
 </li>
 <li>
 Support integration of AI APIs, automation services, and analytics dashboards.
 </li>
 </ul>
 
 
 &bull; Quality &amp; DevOps Practices
 
 
 <ul>
 <li>
 Write clean, testable, and maintainable code following global engineering standards.
 </li>
 <li>
 Implement CI/CD pipelines, automated tests, and observability logging.
 </li>
 <li>
 Contribute to shared component libraries, documentation, and internal playbooks.
 </li>
 </ul>
 
 
 &bull; Continuous Improvement
 
 
 <ul>
 <li>
 Stay up to date on emerging fullstack, AI, and DevSecOps technologies.
 </li>
 <li>
 Identify opportunities to improve system performance and developer productivity.
 </li>
 <li>
 Actively contribute to peer code reviews and technical discussions.
 </li>
 </ul>
 
 
 
 
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Software Engineering, or related field.
 
 
 
 
 
 Experience
 
 
 
 
 <ul>
 <li>
 5&ndash;8 years of experience in fullstack development or software engineering roles.
 </li>
 <li>
 Proven experience delivering enterprise-grade applications across cloud or AI environments.
 </li>
 <li>
 Exposure to microservices architecture and API integration in global, agile settings.
 </li>
 </ul>
 
 
 
 
 Technical Skills
 
 
 
 
 <ul>
 <li>
 Proficiency in JavaScript/TypeScript, Node.js, and modern front-end frameworks (React, Next.js, or Angular).
 </li>
 <li>
 Backend experience using Python, Java, or .NET, including RESTful and GraphQL APIs.
 </li>
 <li>
 Familiarity with microservices, message queues, and event-driven architectures (Kafka, RabbitMQ).
 </li>
 <li>
 Experience with cloud platforms (Azure, AWS, or GCP), Docker/Kubernetes, and CI/CD automation.
 </li>
 <li>
 Understanding of SQL/NoSQL databases and caching mechanisms.
 </li>
 <li>
 Familiarity with AI/LLM integration (API consumption, orchestration, and monitoring) preferred.
 </li>
 <li>
 Knowledge of Git, testing frameworks (Jest, Mocha, Cypress), and observability tools.
 </li>
 </ul>
 
 
 
 
 Soft Skills
 
 
 
 
 <ul>
 <li>
 Strong problem-solving and analytical capabilities.
 </li>
 <li>
 Effective collaboration in cross-functional, multicultural teams.
 </li>
 <li>
 Excellent attention to detail and code quality.
 </li>
 <li>
 Curiosity for new technologies and continuous improvement.
 </li>
 <li>
 Clear communication and accountability mindset.
 </li>
 </ul>
</div>

Senior Full Stack 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

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)

Explore 263+ Ai engineer light in Cairo this April. Find roles across top companies and apply now to boost your career.

263 ai engineer light jobs In Cairo

AI Engineer, LIGHT

Principal AI Engineer

Principal AI Engineer

AI Data Engineer

Senior Full Stack Engineer

Senior Machine Learning Engineer

AI& Data Engineer (Hybrid)