ML Ops Engineer/ AI Ops Engineer

Sutherlandglobal (specialty -e)

4 - 9 years

10 - 20 Lacs

Hyderabad Chennai Bengaluru

Posted:3 days ago| Platform:

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Skills Required

Ci Cd Pipeline MLOps Devops Python AIML Workflow Jenkins Bash Platform Engineering

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. This role will focus on MLOps practices including model versioning, CI/CD, observability, and performance optimization in cloud and hybrid environments.

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.

Preferred candidate profile

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).

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