Capgemini - LLMOps Engineer - Generative AI Solutions

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 and 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 and professional development to support you in exploring the world of opportunities. - Equip yourself with valuable certifications and training programmes in the latest technologies such as LLMOps, Machine Learning.