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ESA Graduate Trainee in AI/Machine Learning Software Engineering

European Space Agency

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Posted 3 weeks ago

Expired

Join the cutting-edge Data Management Unit at the ESA as an AI/ML Software Engineer

Overview

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No salary declared 😔

icon Location

Paris, FR

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Expires at anytime

Organisation summary

As a part of the IT Department at ESA Headquarters in Paris, the Data Management Unit operates the ESA Data and Apps Factory, ESA's largest corporate data repository. This dynamic unit applies AI/ML to a range of functions including time-series analysis and natural language processing to produce knowledge-based decision-making tools and digitalised business processes.

Role Summary

Develop AI models and integrate these into software applications in order to enhance the Agency's business processes. Work with both structured and unstructured data within ESA's largest corporate data repository. Manage end-to-end processes, from data engineering to testing and operations, as well as existing software integration. Present work outcomes and insights to senior management and at internal and external conferences.

Role Requirements

Job applicants should hold relevant technical knowledge and experience, ideally with prior exposure to the space industry and ESA programs or projects. Key behavioural competencies needed are Result Orientation, Operational Efficiency, Fostering Cooperation, Relationship Management, Continuous Improvement, and Forward Thinking.

Application Process Details

ESA is committed to diversity and inclusiveness, and welcomes applications from all qualified candidates. Assistance during the recruitment process is provided by ESA's Human Resources Department.

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.

The role 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 include working 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.

Job requirements Technical competencies include knowledge of relevant technical/functional domains and experience gained during internships, project work and/or extracurricular or other activities. General knowledge of the space sector and relevant activities, and knowledge of ESA and its programmes/projects are essential. Behavioural competencies needed are Result Orientation, Operational Efficiency, Fostering Cooperation, Relationship Management, Continuous Improvement, and Forward Thinking.

Benefits Diversity, Equity and Inclusiveness: ESA is an equal opportunity employer, committed to achieving diversity within the workforce and creating an inclusive working environment. We welcome applications from all qualified candidates irrespective of gender, sexual orientation, ethnicity, religious beliefs, age, disability or other characteristics. We value diversity, and we welcome people with disabilities. Whenever possible, we seek to accommodate individuals with disabilities by providing the necessary support at the workplace. The Human Resources Department can also provide assistance during the recruitment process.

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