Please share below details and updated CV interviews will be as per below slots Date Time October 3 2025 10am-12pm Interview duration 45 minutes ONLY early Oct and Nov joiners will be preferred Current CTC Expected CTC Notice period Current and preferred location Total and relevant exp Current payroll company Relevant exp in MLops only Interview will be virtual share updated CV with us Early joiners will be preferred Interview will be of 45 minutes with proper network 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 Strong 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 AWS and their ML-specific services with atleast 2-3 years of experience Strong understanding of DevOps practices and tools GitLab Artifactory Gitflow etc Experience with monitoring and observability tools Prometheus Grafana ELK stack and knowledge of distributed training techniques What youll love about working here We recognise the significance of adaptable 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 professional development to support you in exploring the world of opportunities Equip yourself with valuable certifications training programmes in the latest technologies such as MLOps Machine Learning Regards Asmita Gaur Senior Consultant Talent Acquisition Capgemini Technology Services India Noida www capgemini com Connect with Capgemini Please consider the environment and do not print this email unless absolutely necessary Capgemini encourages environmental awareness Job Type Full-time Pay 1 362 250 26 - 3 553 792 97 per year Work Location In person