Ml Devops (Andhra Pradesh)

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 About Virtusa Teamwork quality of life skilled and personal development values that Virtusa is proud to embody When you join us you join a team of 27 000 people globally that cares about your growth one that seeks to provide you with exciting projects opportunities and work with state of the art technologies throughout your career with us Great minds great potential it all comes together at Virtusa We value collaboration and the team environment of our company and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence Virtusa was founded on principles of equal opportunity for all and so does not discriminate on the basis of race religion color sex gender identity sexual orientation age non-disqualifying physical or mental disability national origin veteran status or any other basis covered by appropriate law All employment is decided on the basis of qualifications merit and business need