MLOps Engineer

Job Summary

A company is looking for an MLOps Engineer to build, scale, and support a machine learning platform.

Key Responsibilities

• Design and implement reusable modules and templates for model training, deployment, and monitoring
• Build and maintain scalable CI/CD pipelines for ML workflows
• Develop tooling and automation to support platform observability and partner with domain teams for model onboarding

Required Qualifications

• Bachelor's or Master's degree in computer science, engineering, or a related field
• Minimum of 4 years of experience in MLOps with various ML platforms
• Strong proficiency in Python and familiarity with data science methodologies
• Experience with cloud technologies, particularly Google Cloud and Vertex AI
• Expertise in a range of ML technologies and frameworks, including TensorFlow and PyTorch