Mission
Responsibilities
- Develop tools and frameworks for model training, tuning, and evaluation, ensuring seamless infrastructure integration
- Partner with Data Scientists and Engineers to bring AI solutions and Laboratories to production
- Supervise, review and validate pull requests, deployment, and development flows in the AI team
- Drive continuous improvements in MLOps processes and tools
- Sponsor the creation of new software and ML standards in the AI team
- Ensure the quality of your own and your teams' developments
- Interact with other functions and agree on data exchange protocols and architecture design (DevOps, Front End, Data Engineering, Back End, …)
- Ensure adherence to best practices in ML model governance and compliance
- Keep up to date with the latest trends in AI and MLE