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MLOps Architect - AI Platform & Pipeline Ops at NTT DATA

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

25 Feb, 26

Salary

0.0

Posted On

27 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

MLOps, AI, Python, Bash, Docker, Kubernetes, AWS, GCP, Azure, Terraform, CloudFormation, MLflow, Kubeflow, SageMaker, Vertex AI

Industry

IT Services and IT Consulting

Description

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 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) Bonus: experience in BPS / regulated domains with compliance-aware deployment"

Responsibilities

Build and maintain ML pipelines for training, validation, deployment, and monitoring. Collaborate with data, ML, and ops teams to deliver a frictionless MLOps lifecycle.