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  "job_title": "ESA Graduate Trainee in AI/Machine Learning Software Engineering",
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  "job_description": "!!! PLEASE EXCLUSIVELY APPLY VIA THE ESA CAREERS WEBSITE !!!\n\nLocation\n\nESA Headquarters, Paris, France\n\nOur team and mission\n\nYou will join the Data Management Unit within the IT Department at ESA Headquarters, Paris. We run the ESA Data and Apps Factory, the Agency's largest corporate data repository. By providing trusted, accessible data, we enable ESA to take decisions and improve processes based on knowledge rather than intuition.\n\nWe are an experienced team that delivers end-to-end, combining infrastructure, data engineering, data science, and operations. To generate insight and digitalise business processes, we apply AI/ML to time-series analysis, natural language processing, and more. We own and operate the entire technology stack for Machine Learning Operations. This ensures that the models we build translate into secure, reliable, and actionable outcomes across the Agency.\nTasks\n\nField(s) of activity/research for the traineeship\n\nYou as an AI/ML Software Engineer will develop AI models and integrate them into software applications to improve the Agency's business processes.\n\nKey responsibilities:\n\nYou will work with ESA's largest corporate data repository, which includes structured data (SQL databases) and unstructured data (documents).\n\nBuilding on this foundation, you will develop a wide range of AI models, such as anomaly detection, classification and regression, and natural language processing using LLMs.\n\nYou will be involved end-to-end across the pipeline: data engineering, model development, testing and operations, and integration with existing corporate software.\n\nYou will also communicate your results to senior management and present your work at internal and external conferences.\nRequirements\n\nEducation\n\nYou should have just completed, or be in the final year of your master’s degree in Computer Science or similar (Mathematics, Physics, Engineering, etc.).\n\nAdditional requirements\n\nYou should have good interpersonal and communication skills and should be able to work in a multicultural environment, both independently and as part of a team. Previous experience of working in international teams can be considered an asset. Your motivation, overall professional perspective and career goals will also be explored during the later stages of the selection process.\n\nYou should also have:\n\nKnowledge of:\n• Python\n• Machine Learning Libraries (PyTorch, TensorFlow, scikit-learn or equivalent)\n• Linux OS\n• Git/GitHub\n\nWillingness to learn:\n• LLM tools, (vLLM, LangChain, etc.)\n• CI/CD pipelines\n• Docker/Singularity\n\n!!! PLEASE EXCLUSIVELY APPLY VIA THE ESA CAREERS WEBSITE !!!",
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  "job_posted_at_datetime_utc": "2026-03-07T00:00:00.000Z"
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