ML Ops Engineer

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