Senior MLOps Engineer

Role overview Own the machine learning lifecycle behind computer vision inference products, from preparing data and training models through deployment and ongoing improvement. The work centers on delivering and iterating on multiple inference projects running on Google Cloud Platform, with responsibility spanning both machine learning and production operations.

Responsibilities - Curate data for computer vision projects. - Train and deploy machine learning models for inference. - Operate and improve multiple inference projects on GCP. - Measure production performance and use the results to guide ongoing iterations. - Carry work through the full lifecycle, from data and training to production inference.

Requirements - The source describes a senior-level role focused on MLOps and computer vision inference. - End-to-end ownership of machine learning delivery, including data curation, training, deployment, and inference. - Ability to ship, measure, and improve production systems independently.