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 team-oriented 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.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

GenAI scalability & integration
Ops support for Large Language models including incidents management, and user support




GenAI solutions monitoring and maintenance, including performance monitoring, user interaction monitoring and efficacy monitoring
Guardrails review and monitoring include bias audits, and other identified guardrail checks based on implemented GenAI solutions
Code management support including proactive code optimization beyond break fixes
Implementation of Cost and Performance Optimizations for Gen AI applications based on the LLMOps monitoring data
What you’ll 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 LLMOps, Machine Learning

Capgemini is

📌 LLMOP's Enginner (Bengaluru)
🏢 Capgemini
📍 Bengaluru