Capgemini

MLops | 4 to 12 Years | Pune / Hyderabad / Bangalore

Job Description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. 

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

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.


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