ML Ops Engineer

Job Summary

A company is looking for an ML Ops Engineer.

Key Responsibilities

• Build and maintain monitoring infrastructure for machine learning models
• Collaborate with teams to deploy, manage, and monitor models in production
• Develop scalable, secure, and automated data pipelines for ML and Generative AI models

Required Qualifications

• 2-5 years of experience in ML Ops, ML Engineering, or related roles
• Strong experience with ML observability tools and monitoring systems
• Experience in deploying ML workloads using containerization and orchestration platforms
• Proficiency in Python and SQL, with experience in data warehousing platforms
• Bachelor's degree in Computer Science, Engineering, Data Science, or related field