← Back to opportunities
Build and operate secure, scalable ML/LLM platforms on CLoud, automating environments, packaging, testing and deployments via CI/CD (Azure DevOps/GitHub Actions).
Implement end‑to‑end MLOps/LLMOps: data and model versioning (MLflow/DVC), automated training/inference pipelines, evaluation, and model governance (registries, approvals, rollbacks).
Engineer robust RAG pipelines: data ingestion, chunking, embeddings, indexing, caching and retrieval optimization for vector stores (...
About the Role
The opportunity
Our AI team, based in Belgium, supports clients across various business sectors, with a focus on Financial Services—including banking, capital markets, insurance, wealth and asset management—helping them embrace AI at scale and achieve tangible results while transforming their approach to the future.
We are currently looking for a talented and motivated Cloud & MLOps Engineer to join our team.
Your key responsibilities
Ready to Join Through a Referral?
Apply now and get connected directly with the hiring team
Apply for this Position