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MLOps Architect - AI Platform & Pipeline Ops

MLOps Architect - AI Platform & Pipeline Ops

NTTBengaluru, Karnataka, India
1 day ago
Job description

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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    Ai Platform Architect • Bengaluru, Karnataka, India

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