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MLops @ Capgemini

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 MLops

Job Description


  
  • Design, implement, and maintain end-to-end ML pipelines for model training, evaluation, and deployment
  • Collaborate with data scientists and software engineers to operationalize ML models
  • Develop and maintain CI/CD pipelines for ML workflows
  • Implement monitoring and logging solutions for ML models
  • Optimize ML infrastructure for performance, scalability, and cost-efficiency
  • Ensure compliance with data privacy and security regulations
  • Strong programming skills in Python, with experience in ML frameworks
  • Expertise in containerization technologies (Docker) and orchestration platforms (Kubernetes)
  • Proficiency in cloud platform (AWS) and their ML-specific services
  • Experience with MLOps tools
  • Experience with ML model serving frameworks (TensorFlow Serving, TorchServe)
  •  Primary Skills 
  • Machine Learning
  • CI/CD Pipelines
  • Devops
  •  Secondary Skills 
  • Good Communication
  • Job Classification

    Industry: IT Services & Consulting
    Functional Area / Department: Engineering - Software & QA
    Role Category: Software Development
    Role: Search Engineer
    Employement Type: Full time

    Contact Details:

    Company: Capgemini
    Location(s): Hyderabad

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    Keyskills:   continuous integration python machine learning ci cd pipeline ml kubernetes rpa monitoring and logging abbyy tensorflow serving ci/cd cloud platform docker containerization spark devops container orchestration data privacy uipath aws ml pipelines

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