AI and Digital Innovation Engineer [25176]

As part of the ESA team you will have the following responsibilities:

• Support the definition of AI systems and their elaboration;
• Contribute to the analysis and trade-off of AI techniques and technologies;
• Support the integration and deployment of AI solutions into existing systems and workflows;
• Contribute to the collection preprocessing and management of data required for training AI models ensuring data quality consistency and availability;
• Support the verification and validation process of AI systems;
• Assist in the training of AI models using relevant data and evaluate their performance with possible fine-tuning of models to improve accuracy and efficiency;
• Support the monitoring the performance of AI systems and making necessary adjustments to ensure they continue to operate effectively while handling maintenance and updates to keep the systems up to date;
• Aid providing inputs to the definition of standards related to the development and deployment of AI systems;
• Contribute to the capture of knowledge related to the development and use of AI technology and support its dissemination;
• Support the identification assessment and implementation of innovative ideas for shared platform services and tools leveraging leading-edge ICT innovation that facilitates exploitation of data and application of Artificial Intelligence techniques;
• Contribute to the identification adaptation and evaluation of AI techniques AI frameworks tools and optimization techniques;
• Assist the development of information factory environments and their operations;
• Participate to the consolidation of needs and services related to information factory environments;
• Contribute to technology development and work plans for ESAs technology programmes related to information factory;
• Aid providing inputs to the definition of standards related to the development and deployment of AI systems;
• Support the use of innovative data access and analytics environments leveraging HPC infrastructures;
• Contribute to the capture of knowledge related to the development and use of information factories and support its dissemination.

Qualifications :

You will have the following qualifications and relevant experience:

• Masters Degree in Computer Science or related field;
• At least 4 years experience working with Artificial Intelligence (AI) and Machine Learning (ML) techniques data science methodologies etc;
• Familiarity with Artificial Intelligence and Data Science approaches for engineering analysis mission optimisation decision support;
• Fluency in English is mandatory; knowledge of another European language is an advantage.

Additional Information :

This job is located in Noordwijk the Netherlands.

If you think you have what it takes for this job please send your CV (in English and in Word or PDF) to Kristina Lysyk by clicking on the button Apply for this job quoting job NL-HP-25176.

An exciting and dynamic international working environment awaits you!

Inclusive and committed employer our company works every day to combat all forms of discrimination and promote a respectful working environment. Thats why committed to gender diversity and overall inclusivity we encourage all applications and profiles.

 Last apply date: 30/11/2025

Remote Work :

No

Employment Type :

Full-time