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 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
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