MLOps/LLMOps Engineer

Responsible for operationalizing AI models, ensuring scalable, reliable, and automated deployment of ML and LLM solutions across environments.

Responsibilities: -

- Build and manage MLOps and LLMOps pipelines
- Automate model deployment using CI/CD pipelines
- Monitor model performance, drift, and retraining cycles
- Manage model serving frameworks (e.g., vLLM, TGI, Ray Serve)
- Implement experiment tracking and model versioning
- Ensure governance, reproducibility, and compliance

Requirements: -

Must have minimum 4 years of experience

Experience with Kubernetes, Docker

CI/CD tools (GitLab, Jenkins, Azure DevOps)
ML frameworks (TensorFlow, PyTorch)
Knowledge of LLM serving and optimization