Engineer - AI OPS Engineer

Sutherland Global Services Inc

3 - 5 years

5 - 7 Lacs

Chennai

Posted:1 day ago| Platform:

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Skills Required

Computer science Automation github Version control orchestration Monitoring tools GCP Deployment Python Auditing

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are looking for a proactive and detail-oriented AI OPS Engineer to support the deployment, monitoring, and maintenance of AI/ML models in production. Reporting to the AI Developer, this role will focus on MLOps practices including model versioning, CI/CD, observability, and performance optimization in cloud and hybrid environments.

Key Responsibilities:

Build and manage CI/CD pipelines for ML models using platforms like MLflow, Kubeflow, or SageMaker.
Monitor model performance and health using observability tools and dashboards.
Ensure automated retraining, version control, rollback strategies, and audit logging for production models.
Support deployment of LLMs, RAG pipelines, and agentic AI systems in scalable, containerized environments.
Collaborate with AI Developers and Architects to ensure reliable and secure integration of models into enterprise systems.
Troubleshoot runtime issues, latency, and accuracy drift in model predictions and APIs.
Contribute to infrastructure automation using Terraform, Docker, Kubernetes, or similar technologies.

Required Qualifications:

3 5 years of experience in DevOps, MLOps, or platform engineering roles with exposure to AI/ML workflows.
Hands-on experience with deployment tools like Jenkins, Argo,

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