ML Infrastructure Engineer

Job Summary

A company is looking for an ML Infrastructure Engineer.

Key Responsibilities

• Develop large-scale scientific workflows and support existing workflows
• Identify areas for increasing automation to reduce inefficiencies
• Contribute to the development of cheminformatics tools and scalable ML inference infrastructure

Required Qualifications

• Experience with complex codebases and cloud-native architectures
• Proficiency in container orchestration and Kubernetes cluster development
• Demonstrated experience with ML model registry, training, inference, and deployment infrastructure
• Familiarity with best practices for ML infrastructure
• Experience in data architecture and engineering