LLMops Engineer

About the role

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 collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible.

What you'll do

• 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

What you need

• Machine learning
• LLMs
• TensorFlow
• MLOps
• CI/CD
• Any graduate