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 career 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.

📌 Capgemini - LLMOps Engineer - Generative AI Solutions (India)
🏢 Capgemini Technology Services
📍 India