ML Engineer: Build Production-Ready AI Pipelines

Capgemini; Brussel; Sur place; EUR 70 000 - 100 000; Plein temps

Résumé du poste

Capgemini is seeking a Machine Learning Engineer to drive the industrialization of AI solutions. You will work with Data Scientists and IT Production teams to ensure production-ready ML models, robust data pipelines, and scalable infrastructure.

The role emphasizes automation, monitoring, and continuous improvement within Agile delivery environments. Required experience includes 4+ years in ML engineering, containerization of workloads, and familiarity with CI/CD pipelines (GitLab CI).

Qualifications

• Minimum 4 years of relevant experience as a Machine Learning Engineer or similar role.
• Experience with AI platforms and development environments.
• Strong knowledge of containerization and virtualization (Docker, VMs).
• CI/CD pipelines experience, preferably GitLab CI.

Responsabilités

• Collaborate with Data Scientists to define production-ready ML solutions.
• Support infrastructure choices, data ingestion, and API designs for real-time vs batch use cases.
• Industrialize ML pipelines and automate deployment, testing, and monitoring.
• Work with IT Production teams to configure target environments and ensure reliability.

Connaissances

Containerization

CI/CD pipelines

GitLab CI

Model/versioning

Package management

Outils

Docker

VMs

Description du poste

Capgemini is seeking a Machine Learning Engineer to drive the industrialization of AI solutions. You will work with Data Scientists and IT Production teams to ensure production-ready ML models, robust data pipelines, and scalable infrastructure.

The role emphasizes automation, monitoring, and continuous improvement within Agile delivery environments. Required experience includes 4+ years in ML engineering, containerization of workloads, and familiarity with CI/CD pipelines (GitLab CI).