MLOps Engineer

Title: MLOps Engineer

Location: Remote

Exp: 5-9yrs

Skills: K8s,Docker, Sagemaker/Vertex, Github Actions, Mlflow, Kubeflow

•  Build CI/CD pipelines for model training, validation, and promotion.

•  Operate model registries and enforce lineage, versioning, and approval gates.

•  Automate retraining triggers driven by drift and performance thresholds.

•  Containerize workloads and run them on Kubernetes, SageMaker, or Vertex AI.

•  Instrument monitoring for latency, cost, feature skew, and prediction quality.

•  Manage GPU capacity, scheduling, and cost efficiency across environments