Data & AI engineer

Lieu : Tubize, Belgium Thales people architect solutions at the heart of the defence-security continuum. Interoperable and secure information and telecommunications systems for defence, security, and civil operators, are based upon innovative use of radiocommunications, networks, and cybersecurity. We are ground breaking new digital technologies such as 4G/5G mobile communications, cryptography, cloud computing and big data for use in physical protection systems, and critical information systems.

Thales Belgium SA, Belgium competence center of Thales, is a company located on 2 sites, one in Tubize (near Brussels) and the other one in Herstal (near Liège). Thales Belgium, which employs more than 280 collaborators, is specialized in the design, development and supply of critical information systems for customers in the sectors of Defense, Security (including Cyber) and Aerospace.

Mission:

You will be part of the Innovation team of the company. You will be developing Proof-of-concepts in the context of various R&D projects. In particular, you will deploy data processing framework & develop artificial intelligence algorithms (Deep learning, Reinforcement learning). You will also contribute to the development of AI within Thales Belgium. You will be included in a team of both internal colleagues & external partners.

The working language is English, French is an asset.

Main Responsibilities & Profile:

The data & AI scientist will be involved in a series of Proof-of-Concepts aiming at demonstrating the feasibility of introducing Artificial Intelligence (AI) in the development of various capabilities for future products. Your task will be:

• to collect &/or emulate data;
• to develop software allowing to process these data and make them usable by our AI;
• to elaborate and train AI models and share this expertise with Eurocontrol by coaching junior data scientists within the team.
• to participate in the development of AI within Thales Belgium, e.g. by building & operating an AI lab.
• to write technical reports.

The following qualifications and skills are relevant and desirable for this role:

Technical:

• Experience and good knowledge of Python(tenserflow/keras, pandas, numpy, scipy, scikit-learn, matplotlib),
• Experience and good knowledge of SQLquerying.
• A good knowledge of common statistical models and machine learning algorithms used in data science.
• Understanding of HADOOP/Cloudera framework, inclusive HDFS, HIVE, IMPALA, SPARK,…
• Experience and good knowledge of LinuxOS and scripting techniques (Bash/Ksh)

General:

• Excellent presentation and communication skills.
• Experience with writing reports and publications related to AI topics in MS Word and/or LateX.
• Ability to understand business needs and analyze data
• A Master’s degree or PhD in data science with option AI, or relevant experience
• Fluency in English is mandatory.

Required abilities

• Stress resistant, autonomy, sense of initiative
• Versatility and flexibility

• Customer driven and quality oriented

• Interdisciplinary and creative, end-to-end commitment, focused and persistent
• Team player, listening and communication skills

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