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Sutherland
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Automation OPS Engineer

Automation OPS Engineer

Sutherland

30 years

0 Lacs

chennai tamil nadu india

Posted:1 month ago| Platform:

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Skills Required

automation technology management portfolio analytics support design data healthcare agility model versioning optimization ml mlflow rollback strategies audit logging deployment ai integration latency drift terraform docker kubernetes devops engineering jenkins github azure scripting python aws containerization service orchestration monitoring security compliance

Work Mode

On-site

Job Type

Full Time

Job Description

Established in 1986, Sutherland is a global provider of business process and technology management services offering an integrated portfolio of analytics-driven back-office and customer facing solutions that support the entire customer lifecycle.

As a process transformation company, Sutherland rethinks and rebuilds processes for the digital age by combining the speed and insight of design thinking with the scale and accuracy of data analytics. We have been helping customers across industries from financial services to healthcare, achieve greater agility through transformed and automated customer experiences for over 30+ years.

About the Role

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.

Qualifications

Bachelor’s degree in computer science, IT, or a related field.

Required Skills

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, GitHub Actions, or Azure DevOps.
Strong scripting skills (Python, Bash) and familiarity with cloud environments (AWS, Azure, GCP).
Understanding of containerization, service orchestration, and monitoring tools (Prometheus, Grafana, ELK).

Preferred Skills

Experience supporting GenAI or LLM applications in production.
Familiarity with vector databases, model registries, and feature stores.
Exposure to security and compliance standards in model lifecycle management.

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Automation OPS Engineer