Capgemini looking For Mlops Engineer For Pan India (Bengaluru)

Data Science JD- MLOps Engineer 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 Solid programming skills in Python (5+ years), with experience in ML frameworks; understanding of ML-specific testing and validation techniques Expertise in containerization technologies (Docker) and orchestration platforms (Kubernetes), Knowledge of data versioning and model versioning techniques Proficiency in cloud platform (Azure/AWS) and their ML-specific services with atleast 2-3 years of experience. .