MISSION
Thales Begium (Herstal site) is a world leader in precision-guided rocket systems for helicopters and jet aircraft. To support our ambitious production and product development roadmap, Thales is expanding its system team and is seeking an AI Engineer.
As an AI Engineer, you will join a multidisciplinary development team within the Engineering department. You will be involved in the development of two strategic areas centered on AI:
Develop AI models to enhance both future and existing algorithms and control laws for Guidance, Navigation, Flight Controls, and Aiming SystemsConduct performance analysis and drive continuous improvement of the in-site production line by monitoring KPIs and adjusting AI models based on collected dataYou will be expected to support multiple projects, necessitating strong planning and organizational skills. In these projects, you will actively collaborate with Operations and in-line production services to enhance the performance of our rocket systems.
The AI Engineer role is regarded as a key capability for our business and offers significant opportunities for career growth.
RESPONSIBILITIES
Serve as a key reference for ongoing strategic developments in Artificial Intelligence across the organizationParticipate in the design, configuration, and deployment of innovative AI tools aimed at analyzing production data and optimizing Non-Conformity Report (NCR) managementDevelop cutting-edge features for the Guidance Navigation & Control systems of Guided RocketsCollaborate with Industrialization and Quality teams to train AI models, enhance calibration procedures, and address deviations identified during acceptance testingModel physical behaviors of new concepts and conduct simulations to support development efforts and facilitate critical technical decision-makingEngage with Bid & Project teams to prepare technical proposals and respond to customer inquiries effectivelyParticipate in trials and firing campaigns, processing flight test data for analysis and reportingCollaborate with Industrialization teams to ensure the continuous integration and deployment of AI solutions within production environmentsPROFILE
You hold a Master’s Degree in Engineering with a specialization in Informatics, Aeronautics, Mathematics, Physics, or ElectronicsYou have a keen interest in Artificial Intelligence and actively follow the latest trends and innovations in the fieldYou possess experience in Machine Learning and Deep Learning, with proficiency in frameworks such as TensorFlow, PyTorch, or Scikit-learnYou are skilled in Python, particularly in data processing, AI applications, and automation tasksYou have substantial knowledge of MATLAB and SimulinkYou demonstrate the ability to work effectively within a team and communicate clearly and conciselyYou pay attention to detail and have a commitment to technical excellenceFamiliarity with optimization algorithms, including genetic algorithms, convex optimization, and Bayesian optimization techniques, is considered a plusPrevious experience in deploying and maintaining AI models in production environments would be advantageous.Experience with distributed databases (SQL, NoSQL) for managing and optimizing massive data flows would be an asset