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Sr. MLOps Engineer

PradeepIT Consulting Services·Bengaluru

Pay not stated7–13 yrsFull-time

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About the role

| Machine Learning | 2 + | Good to have | 10% |

What you'll do

  • Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality
  • Design and implement cloud solutions, build MLOps on cloud (preferably Azure)
  • Work with workflow orchestration tools like Kubeflow, Airflow, Argo or similar tools
  • Data science models testing, validation and tests automation
  • Communicate with a team of data scientists, data engineers and architect, document the processes

What you need

  • 7–13 yrs of experience
  • MLOps
  • Machine learning
  • Python
  • Airflow
  • TensorFlow
  • Deep learning
  • Any graduate

Good to have

  • PyTorch
  • Spark
  • Azure
  • Data structures
  • Docker
  • Kubernetes

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