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MLOps Engineer @ Capgemini

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 MLOps Engineer

Job Description

 Your Role 
  • 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, serving frameworks (TensorFlow Serving, TorchServe) and experience with MLOps tools
  • Develop and maintain CI/CD pipelines for ML workflows
  • Implement monitoring and logging solutions for ML models, experience with ML model serving frameworks (TensorFlow Serving, TorchServe)
  • Optimize ML infrastructure for performance, scalability, and cost-efficiency

    •   Your Profile 
  • Strong programming skills in Python (5+ years), with experience in ML frameworks; understanding of ML-specific testing and validation techniques
  • Expertise in containerization technologies (Docker) and orchestration platforms (Kubernetes), Knowledge of data versioning and model versioning techniques
  • Proficiency in cloud platform (AWS) and their ML-specific services with atleast 2-3 years of experience.
  • Strong understanding of DevOps practices and tools (GitLab, Artifactory, Gitflow etc.)
  • Experience with monitoring and observability tools (Prometheus, Grafana, ELK stack) and knowledge of distributed training techniques

    •   What youll love about working here 
  • We recognise the significance of flexible work arrangements to provide support in hybrid mode, you will get an environment to maintain healthy work life balance
  • Our focus will be your career growth & professional development to support you in exploring the world of opportunities.
  • Equip yourself with valuable certifications & training programmes in the latest technologies such as MLOps, Machine Learning

    • 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

    + View Contact

    Keyskills:   devops ml python cloud platform container orchestration artifactory kubernetes continuous integration openshift ci/cd docker ansible git java linux jenkins prometheus engineering design maven microsoft azure amazon ec2 grafana gitlab terraform aws

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    Capgemini

    Capgemini is headquartered in Paris, France and operates in more than 40 countries. They are one of the world’s largest providers of Consulting, Technology, and Outsourcing. Above all, Capgemini is a people company— 120,000 people in North America, Europe, South America and the Asia ...

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