!!! 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 Agencys 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 Agencys business processes.
Key responsibilities:
You will work with ESAs 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 masters 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 !!!
!!! PLEASE EXCLUSIVELY APPLY VIA THE ESA CAREERS WEBSITE !!!LocationESA Headquarters Paris FranceOur team and missionYou will join the Data Management Unit within the IT Department at ESA Headquarters Paris. We run the ESA Data and Apps Factory the Agencys largest corporate data repository. By provi...
!!! 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 Agencys 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 Agencys business processes.
Key responsibilities:
You will work with ESAs 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 masters 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 !!!
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