The Role
Develop and deploy AI/ML models (anomaly detection, classification, regression, NLP/LLMs) using ESA's structured and unstructured data. Work end-to-end across data engineering, model development, testing, MLOps, and software integration. Communicate results to senior management and present at conferences.
Summary Generated by Built In
!!! PLEASE EXCLUSIVELY APPLY VIA THE ESA CAREERS WEBSITE !!!
Location
ESA Headquarters, Paris, France
Our team and mission
You 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.
We 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.
Tasks
Field(s) of activity/research for the traineeship
You as an AI/ML Software Engineer will develop AI models and integrate them into software applications to improve the Agency's business processes.
Key responsibilities:
You will work with ESA's largest corporate data repository, which includes structured data (SQL databases) and unstructured data (documents).
Building 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.
You will be involved end-to-end across the pipeline: data engineering, model development, testing and operations, and integration with existing corporate software.
You will also communicate your results to senior management and present your work at internal and external conferences.
Requirements
Education
You should have just completed, or be in the final year of your master’s degree in Computer Science or similar (Mathematics, Physics, Engineering, etc.).
Additional requirements
You 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.
You should also have:
Knowledge of:
* Python
* Machine Learning Libraries (PyTorch, TensorFlow, scikit-learn or equivalent)
* Linux OS
* Git/GitHub
Willingness to learn:
* LLM tools, (vLLM, LangChain, etc.)
* CI/CD pipelines
* Docker/Singularity
!!! PLEASE EXCLUSIVELY APPLY VIA THE ESA CAREERS WEBSITE !!!
Location
ESA Headquarters, Paris, France
Our team and mission
You 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.
We 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.
Tasks
Field(s) of activity/research for the traineeship
You as an AI/ML Software Engineer will develop AI models and integrate them into software applications to improve the Agency's business processes.
Key responsibilities:
You will work with ESA's largest corporate data repository, which includes structured data (SQL databases) and unstructured data (documents).
Building 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.
You will be involved end-to-end across the pipeline: data engineering, model development, testing and operations, and integration with existing corporate software.
You will also communicate your results to senior management and present your work at internal and external conferences.
Requirements
Education
You should have just completed, or be in the final year of your master’s degree in Computer Science or similar (Mathematics, Physics, Engineering, etc.).
Additional requirements
You 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.
You should also have:
Knowledge of:
* Python
* Machine Learning Libraries (PyTorch, TensorFlow, scikit-learn or equivalent)
* Linux OS
* Git/GitHub
Willingness to learn:
* LLM tools, (vLLM, LangChain, etc.)
* CI/CD pipelines
* Docker/Singularity
!!! PLEASE EXCLUSIVELY APPLY VIA THE ESA CAREERS WEBSITE !!!
Skills Required
- Master's degree in Computer Science, Mathematics, Physics, Engineering, or similar (completed or final year)
- Good interpersonal and communication skills; ability to work in multicultural teams
- Knowledge of Python
- Experience with machine learning libraries (PyTorch, TensorFlow, scikit-learn or equivalent)
- Familiarity with Linux operating systems
- Experience with Git/GitHub
- Familiarity with SQL databases and working with structured data
- Willingness to learn LLM tools (vLLM, LangChain, etc.)
- Willingness to learn CI/CD pipelines
- Willingness to learn container tools (Docker, Singularity)
- Previous experience working in international teams
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The Company
What We Do
The European Space Agency (ESA) is a 23-member international organization devoted to space exploration. It manages a wide array of activities, including human spaceflight, launchers, telecommunications, navigation, and Earth monitoring, aiming to advance human knowledge and technological capabilities in space exploration for the benefit of all people on Earth and future generations.
