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ML DevOps

Actively Reviewing the Applications

Virtusa

India, Andhra Pradesh Full-Time On-site
Posted 4 weeks ago • Apply by May 18, 2026

Job Description

Job Summary

DevOps/MLOps engineer to manage infrastructure and pipelines for scalable AI agent operations.

Experience Level: 5+ years

JD

Automate CI/CD pipelines for agent lifecycle.

Manage infrastructure via Terraform, GKE, Cloud Build.

Implement MLOps with Vertex AI Pipelines, MLFlow.

Monitor performance and deploy observability tools.

Ensure secure A2A communication and service mesh.

Collaborate on privacy and compliance practices.

Expert in GCP: Vertex AI, GKE, BigQuery, Pub/Sub.

Experience with Docker, Kubernetes.

Familiar with Kubeflow, Airflow, ML pipeline tools.

Observability tools: Prometheus, Grafana, Stackdriver.

Understanding of model versioning and drift..

Required Skills

BigQuery Docker Kubernetes Terraform CI/CD Pipelines Prometheus Grafana MLOps MLflow Kubeflow Airflow DevOps Vertex
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