Associate MLOps Engineer

Job Summary

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