- Location
- Chennai, IN
- Work mode
- On-site
- Employment
- Full-time
- Experience
- Mid-level · 6–15 yrs
About the role
Role: MLOPS Engineer Location: Pan India Experience: 6 to 15 Years Notice Period : Immediate to 90 days Mode of Interview : In-Person Key words -Skillset AWS SageMaker, Azure ML Studio, GCP Vertex AI PySpark, Azure Databricks MLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipeline Kubernetes, AKS, Terraform, Fast API Responsibilities Model Deployment, Model Monitoring, Model Retraining Deployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipeline Drift Detection, …