10 days ago
Machelen, BelgiumSenior
Responsibilities
- Collaborate with Data Scientists to define and develop ML solutions within production constraints.
- Select infrastructure and model-serving approaches based on business requirements and processing needs.
- Automate ML pipeline components for production deployment.
- Build Docker or VM images and prepare unit, regression, and integration tests.
- Support Data Scientists with industrial AI services and CI/CD solutions.
- Support IT Production with environment parameterization.
- Ensure models run reliably, are retrained when required, and are monitored from both IT and business perspectives.
- Facilitate communication between AI and Analytics teams and IT Production.
Requirements
- At least 4 years of relevant experience.
- Advanced Python skills.
- Experience with containerization and virtualization.
- Experience with AI platforms and IDEs.
- Experience with GitLab CI and CI/CD solutions.
- Experience with code, model, and data versioning.
- Experience with package and dependency management.
- Experience with PostgreSQL.
- Preferred experience with integration technologies, including distributed and mainframe environments.
- Preferred knowledge of model compression techniques, ELT/ETL tools, Spark, data-flow processing, and data-visualization tools.
- Knowledge of Agile methodology.
- English is mandatory; Dutch and French are a plus.
Benefits
- 50% onsite and 50% homeworking.
Tech Stack
Categories
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.