Senior ML Engineer - Production Pipelines & Automation

Capgemini; Brussel; Sur place; EUR 60 000 - 90 000; Plein temps

Résumé du poste

Capgemini is seeking an ML Engineer in Belgium to collaborate with data scientists on production-ready ML solutions. You will define infrastructure and serving models to address real-time and high-volume requirements, and automate ML pipelines for deployment using Docker/VM images.

You will also support IT Production with environment parameterization, retraining (auto if needed), and monitoring from both IT and business perspectives.

Qualifications

• At least 4 years of relevant experience.
• Experience with package management tools and dependency management.
• Knowledge of agile methodology.
• Experience with integration using different technologies (distributed/mainframe) and infra components.
• Data visualization tools experience.

Responsabilités

• Collaborate with Data Scientists to define and develop production-ready ML solutions.
• Define run infrastructure and serving model to meet business requirements (real-time responses, volumetry).
• Automate ML pipeline elements for production deployment (Docker/VM images, tests).
• Support IT Production with environment parameterization, retraining, and monitoring.

Connaissances

Docker

VM images

Agile

Package management

Dependency management

CI/CD tools

Data visualization

Outils

CI/CD tools

Description du poste

Capgemini is seeking an ML Engineer in Belgium to collaborate with data scientists on production-ready ML solutions. You will define infrastructure and serving models to address real-time and high-volume requirements, and automate ML pipelines for deployment using Docker/VM images.

You will also support IT Production with environment parameterization, retraining (auto if needed), and monitoring from both IT and business perspectives.