Machine Learning Engineer

Job Summary

Building and operating the infrastructure for machine learning model training and deployment, the full-time Machine Learning Cloud Infrastructure Engineer will develop pipelines, services, and platforms while working remotely.

Key responsibilities

• Build and maintain pipelines that transform raw data into curated training datasets and develop reproducible training workflows
• Design and operate scalable AWS infrastructure using Infrastructure as Code, including Kubernetes/EKS workloads
• Establish evaluation frameworks and monitoring systems to ensure model quality and pipeline correctness

Required qualifications

• 3+ years of experience in software engineering, infrastructure engineering, data engineering, or ML infrastructure
• Strong programming experience in Python, with familiarity in Go, C++, or similar languages preferred
• Hands-on experience with cloud infrastructure, preferably AWS, and Infrastructure as Code
• Experience with Kubernetes and containerized environments
• Ability to obtain and maintain a U.S. Government security clearance