MLOps Software Engineer

Job Summary

A company is looking for an MLOps Software Engineer to develop machine learning-powered features and infrastructure.

Key Responsibilities

• Develop and maintain MLOps platforms using Kubeflow and other ML tools for a unified development experience
• Collaborate with multi-functional teams to design and build scalable cloud-based services and APIs
• Monitor and optimize machine learning systems and infrastructure for performance and reliability

Required Qualifications

• 5 or more years of industry experience in software engineering
• Bachelor's and/or Master's degree in Computer Science or Computer Engineering
• Experience with cloud-based infrastructure, preferably AWS or GCP
• Proficiency in Python or Go with experience in building web applications and microservices
• Familiarity with CI/CD workflows and managing Kubernetes networks in production