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AI / Mlops Engineer

Manage end-to-end deployment and monitoring of machine learning models in cloud environments
Columbus, Ohio, United States
Senior
13 hours agoBe an early applicant
Virtusa

Virtusa

A global provider of digital strategy, digital engineering, and IT services and solutions for Global 2000 enterprises.

Software Engineer

As an experienced Software Engineer to work on client ML Ops team responsible for managing the Model deployment and other operations activities:

Production Support & Monitoring: Provide ongoing monitoring and support of ML models, pipelines, and services to ensure stability and performance.

Deployment & Release Management: Manage CI/CD pipelines for ML model deployment, versioning, and production releases.

Vulnerability Remediation & Management: Identify, remediate, and track security vulnerabilities in ML infrastructure and dependencies.

Data & Model Governance: Maintain model lineage, audit trails, and compliance with data privacy and regulatory standards.

Incident & Change Management: Handle production incidents, perform root cause analysis, and manage approved changes to ML systems.

Mandatory Skills: ML Ops Vertex AI AWS Sagemaker Python Airflow

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AI / Mlops Engineer
Columbus, Ohio, United States
Engineering
About Virtusa
A global provider of digital strategy, digital engineering, and IT services and solutions for Global 2000 enterprises.