MLOPs Engineer

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.Ready to make your next career move?Explore the full job description below to learn more about the MLOPs Engineer role, its key responsibilities, and what it's like to be part of our team.

If you're excited by what you see, we'd love to hear from you. Apply today and take the next step in your career journey.Not quite the right opportunity? Join our Talent Community to stay connected and receive updates on exciting opportunities tailored to your experience, skills, and aspirations.Your RoleDesign, implement, and maintain end-to-end ML pipelines for model training, evaluation, and deploymentCollaborate with data scientists and software engineers to operationalize ML models, serving frameworks (TensorFlow

Serving, TorchServe) and experience with MLOps toolsDevelop and maintain CI/CD pipelines for ML workflowsImplement monitoring and logging solutions for ML models, experience with ML model serving frameworks (TensorFlow Serving, TorchServe)Optimize ML infrastructure for performance, scalability, and cost-efficiencyYour ProfileStrong programming skills in Python, with 5.5 to 14 years experience in ML frameworks; understanding of ML-specific testing and validation techniquesExpertise in containerization technologies (Docker) and orchestration platforms (Kubernetes), Knowledge of data versioning and model versioning techniquesProficiency 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 techniquesWhat you’ll love about working hereWe recognise the significance of flexible work arrangements to provide support in hybrid mode, you will get an environment to maintain healthy work life balanceOur 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 LearningCapgemini is an AI-powered global business and technology transformation partner, delivering tangible business value.

We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations.

The Group reported 2024 global revenues of €22.1 billion.Make it real | www.capgemini.com