Role MLOps Engineer Location AIA- Pune Exp 3 to 12 years Responsibilities Model Deployment Model Monitoring Model Retraining Deployment pipeline Inference pipeline Monitoring pipeline Retraining pipeline Drift Detection Data Drift Model Drift Experiment Tracking MLOps Architecture REST API publishing Job Responsibilities Research and implement MLOps tools frameworks and platforms for our Data Science projects Work on a backlog of activities to raise MLOps maturity in the organization Proactively introduce a contemporary agile and automated approach to Data Science Conduct internal training and presentations about MLOps tools benefits and usage Required experience and qualifications Wide experience with Kubernetes Experience in operationalization of Data Science projects MLOps using at least one of the popular frameworks or platforms e g Kubeflow AWS Sagemaker Google AI Platform Azure Machine Learning DataRobot DKube Good understanding of ML and AI concepts Hands-on experience in ML model development Proficiency in Python used both for ML and automation tasks Good knowledge of Bash and Unix command line toolkit Experience in CI CD CT pipelines implementation Experience with cloud platforms - preferably AWS - would be an advantage

📌 Mlops Engineer (Tamil Nadu)
🏢 Cognizant Technology Solutions
📍 Tamil Nadu