Capgemini

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

Posted On

May 1, 2025

Location

Hyderabad, Telangana

Experience Level

Experienced Professionals

Job Type

Permanent

Apply By

July 2, 2025

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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