Description

You will manage the deployment, monitoring, and lifecycle of Large Language Models in production environments, transitioning from traditional ML workflows to LLM-focused operations.

This role is hybrid.

Responsibilities

• Deploy and manage LLM models in production systems.
• Implement monitoring solutions for model performance and health.
• Maintain and optimize MLOps pipelines for LLM workloads.
• Ensure reliability and scalability of model serving infrastructure.

Required Skills

• 3+ years of total experience in MLOps or machine learning engineering.
• At least 2+ years of hands-on experience with Large Language Models (LLMs).
• Strong foundation in MLOps principles and practices.
• Experience with model deployment, monitoring, and management tools.
• Ability to transition from traditional ML workflows to LLM operations.

Key Skills

Education

Any Graduate