MLOps Engineer: Scalable ML Pipelines on GCP

A technology solutions company is looking for an MLOps Engineer in Toronto, Ontario. The role involves building, automating, and managing scalable machine learning pipelines on Google Cloud Platform. Ideal candidates will have experience with TensorFlow, PyTorch, and Kubernetes, along with strong knowledge of ML data engineering and related concepts. This is a mid-senior level contract position offering a competitive salary of CA$120,000 to CA$180,000. #J-18808-Ljbffr