Overview
We’re looking for passionate
Data Scientists
to join a leading
AI & Cybersecurity Centre of Excellence, where teams of data scientists, data engineers, and analytics experts design, develop, and deploy impactful AI solutions across the organization. You’ll take ownership of
end-to-end AI use cases
— from scoping and modeling to integration and deployment — ensuring that your solutions deliver measurable business value while adhering to best practices in scalability, governance, and quality. If you love working with cutting-edge (Gen)AI, collaborating with cross-functional experts, and seeing your work make it to production, this role is for you. What You’ll Do
Design, develop, and deploy
AI applications
using state-of-the-art machine learning and GenAI technologies. Translate
business challenges
into practical, data-driven AI solutions. Develop and pilot
proofs of concept, then scale them into production systems. Ensure
end-to-end deployment
of AI solutions, integrating them into production environments. Collaborate with business and domain experts for data understanding, feature design, and validation. Present results clearly and effectively to both technical and non-technical audiences. Contribute to the team’s
continuous improvement, knowledge sharing, and process optimization. Requirements
Master’s or PhD in
Artificial Intelligence ,
Computer Science ,
Engineering, or equivalent field. 2+ years
of professional experience in
AI/ML engineering
or applied data science. Advanced proficiency in
Python
and standard ML libraries. Deep understanding of
machine learning and statistical modeling
techniques. Proven experience
deploying scalable AI systems
to production. Hands-on experience with
Azure Cloud
and
Azure Data & AI services. Solid knowledge of
version control (Git/GitHub)
and
CI/CD pipelines. Experience with
Large Language Models (LLMs)
and tools such as
LangChain
or
LlamaIndex. Fluent in
English, plus
French and/or Dutch. Nice-to-Have Skills
Familiarity with
Agentic AI frameworks
(LangGraph, AutoGen, CrewAI). Experience with
MLOps tools
such as MLflow, Kubeflow, or TFX. Strong background in
data engineering
and
cloud-native AI pipelines. Terms
Contract: Permanent only Location: Brussels (hybrid) Duration: 6 months + extension
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