MLOps Engineer

CDH Professionals; Brussel; Hybride; EUR 111 000 - 185 000; Plein temps

Avantages offerts par ce poste

Hybrid work model

Résumé du poste

CDH Professionals in Brussels seeks an experienced Freelance MLOps Engineer to join a modern AI and cloud environment. You will build and operate scalable ML platforms, collaborating with Data, AI and DevOps teams to take models from development into production.

You'll work in a hybrid setup (2-3 days onsite), start ASAP, for 8-12 months with potential extension. The role requires Medior to Senior expertise and fluency in English; French/Dutch a plus.

Qualifications

• Experience in building scalable ML platforms in cloud environments.
• Proficient with ML lifecycle tooling (MLflow or similar).
• Strong experience with IaC and cloud security practices.

Responsabilités

• Build and maintain scalable infrastructure for ML workloads.
• Automate model deployment and CI/CD pipelines.
• Develop and improve MLOps processes and tooling.
• Support ML models throughout their production lifecycle.
• Improve platform reliability, security and performance.
• Collaborate with Data Scientists, ML Engineers and DevOps teams.
• Troubleshoot and optimise cloud-based AI environments.

Connaissances

Python

Terraform

MLflow

Cloud infra

GitOps

Monitoring

Description du poste

We’re looking for an experienced Freelance MLOps Engineer to join a modern AI and cloud environment in Brussels. You’ll help build and operate scalable ML platforms, working closely with Data, AI and DevOps teams to take models from development into reliable production environments.

Key Skills

• Python
• Terraform / Infrastructure as Code
• MLflow or similar ML lifecycle tooling
• Cloud infrastructure, networking & security
• Git / GitOps
• Monitoring & observability

Responsibilities

• Build and maintain scalable infrastructure for ML workloads
• Automate model deployment and CI/CD pipelines
• Develop and improve MLOps processes and tooling
• Support ML models throughout their production lifecycle
• Improve platform reliability, security and performance
• Collaborate with Data Scientists, ML Engineers and DevOps teams
• Troubleshoot and optimise cloud-based AI environments

Job Info

• Contract: Freelance
• Work model: Hybrid - 2-3 days onsite
• Start: ASAP
• Duration: 8-12 months, with potential extension
• Seniority: Medior/Senior
• Language: English; French/Dutch a plus
• Rate: Competitive, depending on experience