Artificial Intelligence and Data Science Engineer

Telespazio Be Ne Lux  can count on more than 45 years of experience in the field of Space Operations Service & Engineering activities.

We provide a significant contribution to the most major Space programs of the European Space Agency, EUSPA and other Telespazio Groups. Our core business is to work on the ground to build bridges into space, contributing to the success of ambitious missions.

The European Space Agency is our biggest client and we provide highly qualified employees to many sites of ESA but mainly for ESTEC in the Netherlands, and we provide a permanent contract with great benefits, a good salary, a relocation package along with genuine support to our employees.

Telespazio Be Ne Lux  has an on‑site service at ESTEC in the Netherlands, and we are looking for a highly skilled Artificial Intelligence and Data Science
Engineer to work there.

Candidates must be eligible for a security personal clearance from an EU Member State national security administration

AI Engineering

• 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.

Digital Innovation Engineering

• 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 ESA's 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.

Data Science Engineering

• Support the requirement definition of data-driven solutions together with stakeholders, AI System Engineers and Digital Innovation engineers.
• Contribute to the gathering of data from various sources, cleaning it, and transforming it into a usable format ensuring data quality, consistency, and
  availability.
• Support exploratory data analysis to understand the data and identify patterns, trends, and anomalies gaining insights and forming hypotheses.
• Participate to the build of predictive models selecting appropriate algorithms, training models on historical data, and validating their performance.
• Support the implementation of machine learning…