About this role
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