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.