Capgemini - MLOps Engineer

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 :

What youll love about working here :

(ref : hirist.tech)