Atos is a global leader in digital transformation with c. 78,000 employees and annual revenue of c. € 10 billion. European number one in cybersecurity, cloud and high-performance computing, the Group provides tailored end-to-end solutions for all industries in 68 countries. A pioneer in decarbonization services and products, Atos is committed to a secure and decarbonized digital for its clients. Atos is a SE (Societas Europaea) and listed on Euronext Paris.The purpose of Atos is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.We're looking for a motivated Junior AI Engineer to help design, build, and deploy AI solutions using machine learning, Generative AI, and Agentic AI to solve business challenges. You'll work on projects combining enterprise search (e.g., Sinequa), Large Language Models (LLMs), and AI agents under senior guidance, gaining hands-on experience across the AI lifecycle from data prep to deployment.Key Responsibilities:Assist in developing and fine-tuning ML and Generative AI models for enterprise use.Support integration of Agentic AI and workflow automation into applications.Contribute to enterprise search and knowledge retrieval projects using tools like Sinequa or Azure Cognitive Search.Work on Retrieval-Augmented Generation (RAG) pipelines combining data with LLMs.Participate in deploying AI solutions on cloud platforms (Azure ML, Azure OpenAI).Help implement Responsible AI practices (fairness, explainability, bias detection).Support data preprocessing, feature engineering, and exploratory analysis.Collaborate on documentation, demos, and project delivery.Qualifications:Required:Bachelor's in CS, Data Science, AI, or related field (or equivalent experience).1-2 years' experience with AI/ML projects.Proficient in Python and AI/ML libraries (scikit-learn, PyTorch, TensorFlow, Hugging Face).Basic cloud knowledge (preferably Azure) with a strong desire to learn.Familiarity with Generative AI concepts (LLMs, prompt engineering, embeddings).Strong problem-solving skills and eagerness to learn.Preferred:Exposure to enterprise search (Sinequa, ElasticSearch, Azure Cognitive Search).Experience with RAG pipelines or vector databases (Pinecone, FAISS).Knowledge of Agentic AI and tool integration.Familiarity with MLOps, CI/CD, containerization.Azure certifications (AZ-900, AI-900, DP-100) a plus.Awareness of Responsible AI frameworks.What we offer:
Competitive salary with attractive extra-legal benefits, such as:
Company car, fuel card, mobile data plan, meal vouchers, expense allowances.
20 annual leave days and 6 to 12 recuperation days.
Insurance:
Hospitalization, personal accident, and life insurance.
An attractive stakeholder pension scheme.
Income protection.
Flex benefits system - an exciting opportunity to customize your benefits.
Retail discounts.
Participation in our share scheme (optional, subject to eligibility criteria).
Unlimited learning opportunities via our training platforms.
Eco vouchers and meal vouchers.
A Sinterklaas (Saint Nicholas) voucher for employees with children.
Want to know more? Contact Gabriela Mitova at gabriela.mitova@atos.netLearn more about us At Atos, we embrace diversity as the ultimate engine of ingenuity for our clients, and we constantly strive to create a culture where people feel supported and encouraged. Read more about our commitment .Whether it is fighting climate change, promoting digital inclusion, or ensuring trust in data management – tech for good sits at the core of our identity. With numerous global recognitions for our ESG practices, we are committed to building a better future for all by harnessing the power of technology. Learn more
