MLOps Engineer

Job Summary

A company is looking for an MLOps Engineer to build and maintain infrastructure for deploying, monitoring, and scaling ML models.

Key Responsibilities

• Develop and maintain scalable ML/LLM deployment infrastructure (cloud/on-prem)
• Build CI/CD pipelines for model training, testing, and deployment
• Implement model serving solutions and set up monitoring for model performance

Required Qualifications

• Experience in MLOps, ML infrastructure, or ML/DevOps engineering
• Familiarity with MLOps frameworks and tools
• Strong skills with cloud platforms (e.g., AWS) and Kubernetes
• Proficiency with CI/CD, IaC (Terraform/Helm), and Python
• Understanding of ML lifecycle and production ML best practices