MLOps Architect

14 hours ago


Hyderabad India NTT Data Full time

Job Description Key Responsibilities: . Build and maintain ML pipelines for training, validation, deployment, and monitoring . Implement CI/CD for ML artifacts, including data versioning and model registries . Monitor model performance and drift trigger retraining workflows as needed . Manage infrastructure (cloud, containerized, on-prem) for high-availability AI services . Collaborate with data, ML, and ops teams to deliver frictionless MLOps lifecycle Required Skills: . Strong knowledge of MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI) . Proficiency in Python, Bash, Docker, and Kubernetes . Familiarity with cloud infra (AWS/GCP/Azure) and IaC (Terraform, CloudFormation) . Experience in model monitoring, logging, and alerting . Bonus: experience in BPS / regulated domains with compliance-aware deployment


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