ML Ops Engineer Women on Break

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Key Responsibilities:
  • 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.
  • Conduct internal training and presentations about MLOps tools’ benefits and usage.
Role Proficiencies:
  • Wide experience with Kubernetes.
  • Experience in operationalization of Data Science projects (MLOps) using at least one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, DKube
  • Good understanding of ML and AI concepts. Hands-on experience in ML model development.
  • Proficiency in Python used both for ML and automation tasks. Good knowledge of Bash and Unix command line toolkit.
  • Experience in CI/CD/CT pipelines implementation.
  • Experience with cloud platforms - preferably AWS - would be an advantage.
  • Experience:

    6 - 10 Years

  • Salary:

    20 LPA - 25 LPA

  • Diversity Candidate:

    Yes

  • Location:

    Chennai , Hyderabad

  • Address:

    ..

  • Primary Skills:

    CI/CD, Docker, Kubernetes, ML model deployment, Cloud platforms (AWS/GCP/Azure), Monitoring, version control (Git), Automation tools, Terraform, Python, Bash, MLflow, Airflow, DataOps

  • Secondary Skills:

    Communication Skills , Presentation skills

  • Industry:

    Consulting

  • Job Type:

    Full time

  • Degree:

    Graduate

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