ML Ops Engineer

1 week ago

Bengaluru Chennai Hyderabad, India Sutherland Full time ₹ 15,00,000 - ₹ 25,00,000 per year

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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