ML Operations Engineer

Role overview Own the operational foundations of a machine learning research pipeline, connecting model development with dependable production use. The scope covers the flow from coordinating training jobs through deploying and monitoring models that are served to users or other systems.

Responsibilities - Orchestrate machine learning training jobs. - Support the operational workflow around research pipelines. - Deploy trained models into serving environments. - Monitor deployed models and their operation over time. - Help make the path from research work to served models manageable and reliable.

Requirements - Experience in machine learning operations or a closely related engineering area. - Ability to coordinate or operate model training workflows. - Experience deploying models for inference or other serving use. - Familiarity with monitoring deployed models.