Senior Machine Learning Engineer

Capgemini; Brussel Hoofdstad; Sur place; EUR 70 000 - 90 000; Plein temps

Résumé du poste

Capgemini Belgium is seeking an experienced ML Engineer to join our AI practice in Brussels. You will collaborate with Data Scientists to design production-ready ML solutions that respect performance and scalability constraints.

You will implement automation of ML pipelines, containerize components, manage model versioning, and ensure reliable deployment in production environments while supporting IT and business stakeholders.

Qualifications

• At least 4 years of relevant experience in ML engineering or production ML.
• Strong Python programming skills.
• Experience building and deploying ML models in production.
• Familiarity with ML infra and production constraints.

Responsabilités

• Define and develop ML solutions with production constraints in mind.
• Choose run infrastructure and model serving approach to meet business needs.
• Automate ML pipeline components and ensure reliable deployment.
• Support Data Scientists in using existing industrial AI solutions.
• Parameterize IT Production environments to ensure reliable, retrainable, and monitored models.

Connaissances

Python

Containerization

CI/CD

Code & data versioning

Agile

Outils

GitLab CI

PostgreSQL

Docker

Description du poste

Project description:

Function description:

ML Engineers contribute to Machine Learning projects by:

• Working with the Data Scientists to define and develop the target solution with production constraints in mind. This allows to select the correct run infrastructure and serving model (e.g. data ingestion scheme, API synchronicity, …) to address the business requirements (real-time responses, processing volumetry, …)
• Contributing to the automation of the different elements of the ML pipeline in order to integrate and deploy them in the production environment (e.g. building Docker/VM images, prepare unitary, regression and integration tests, …)
• Supporting Data Scientists on the usage of the existing industrial solutions available to build and monitor AI services (i.e. the CI/CD tools)
• Supporting IT Production on the parameterization of the target environment Ensuring that the model runs without errors, is retrained if needed (incl. automatically) and is monitored both from the IT and the business perspective.

Required experience / Knowledge:

At least 4 years of relevant experience Technical experience:

Mandatory:

• Containerization / Virtualization
• AI platforms & IDEs
• CI/CD (Gitlab-ci)
• Code, model & data versioning
• Python advanced
• Usage of package management tools and experience in dependency management
• PostgreSQL
• Knowledge of agile methodology

Preferable:

• Experience with integration using different technologies (distributes/mainframe) and infra components
• Model compression techniques
• ELT / ETL tools
• Big data tools (Spark)
• Data flow processing
• Data visualization tools Business experience: