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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
NTT DATA Corporation is a Japanese multinational information technology service and consulting company headquartered in Tokyo, Japan. It is partially-owned subsidiary of Nippon Telegraph and Telephone. Japan Telegraph and Telephone Public Corporation, a predecessor of NTT, started Data Communications business in 1967.
Job ID: 133637045
