MLOps Engineer

Job Summary

A company is looking for an MLOps Engineer to design, build, and maintain infrastructure and pipelines for the machine learning lifecycle.

Key Responsibilities

• Automate and optimize ML workflows using CI/CD pipelines and orchestration tools
• Collaborate with data scientists and product teams to productionalize models and ensure reliable performance
• Develop and maintain model monitoring, alerting, and logging systems to track performance in production environments

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, or related field
• 5+ years of experience in machine learning or data engineering with expertise in MLOps
• Proven experience deploying machine learning models at scale in production environments
• Strong coding proficiency in Python and experience with infrastructure tools like Terraform
• Hands-on experience with ML platforms, CI/CD tools, and containerization technologies