Responsibilities include maintaining the model registry, building deployment pipelines, and implementing monitoring and governance for ML systems. The role blends R&D, software, and DevOps in a fast-paced environment.
#J-18808-LjbffrSenior MLOps Engineer: Production ML Pipelines & Registry in boston at Unknown Company
This position is listed as full time and onsite.