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MLOPS Engineer

Cognizant·Tamil Nadu

Pay not stated6–15 yrsFull-time

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About the role

AWS SageMaker, Azure ML Studio, GCP Vertex AI MLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipeline

What you'll do

  • Model Deployment, Model Monitoring, Model Retraining
  • Drift Detection, Data Drift, Model Drift
  • Research and implement MLOps tools, frameworks and platforms for our Data Science projects
  • Work on a backlog of activities to raise MLOps maturity in the organization
  • Proactively introduce a modern, agile and automated approach to Data Science

What you need

  • 6–15 years in data science & ai
  • MLOps
  • Machine learning
  • AWS
  • Python
  • Azure
  • Kubernetes
  • Any graduate

Good to have

  • Bash
  • Linux
  • REST APIs
  • Spark
  • Databricks
  • GCP

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