Senior Machine Learning Engineer

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

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

• Usage of package management tools and experience in dependency management
• Knowledge of agile methodology
• Experience with integration using different technologies (distributes/mainframe) and infra components
• Data visualization tools Business experience: