LLMOps Engineer

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired bya collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds leading organizations

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 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 LLMOps, Machine Learning