Associate MLOps Engineer

A company is looking for an ML Ops Engineer to design, implement, and maintain machine learning operations pipelines.

Key Responsibilities

Assist in designing and developing MLOps infrastructure for deploying and managing ML models

Collaborate with data scientists to integrate POCs into scalable production pipelines

Monitor performance of ML models and troubleshoot issues in pipelines or infrastructure

Required Qualifications

Minimum 3 years of relevant professional experience

Bachelor's degree in Computer Science, Data Science, or related field (or equivalent combination of education and experience)

Hands-on experience in data engineering with a focus on machine learning operations (MLOps)

Proficiency in Python and knowledge of data pipeline architecture and transformations

Familiarity with cloud platforms, preferably Azure