Machine Learning Infrastructure Engineer
Machine Learning Infrastructure Engineer
Machine Learning Infrastructure Engineer
Ambience Healthcare
Ambience Healthcare is a leading AI platform focused on documentation, coding, and clinical workflow, aiming to reduce administrative burdens in healthcare. The company is seeking a Machine Learning Infrastructure Engineer to join their AI Platform team, responsible for building and scaling the infrastructure that supports AI systems. This hybrid role requires collaboration with ML researchers and product engineers to enhance tools and workflows for ML model training and deployment.
Qualification
- 5+ years of experience as a software engineer, infrastructure engineer, or ML platform engineer.
- Experience working on systems that support ML research or production workloads.
- Proficient in writing high-quality code, primarily in Python.
- Strong engineering and systems design instincts.
- Ability to work closely with ML researchers and product engineers to improve infrastructure.
Responsibility
- Design, build, and maintain the infrastructure for ML model training, batch inference, and evaluation workflows.
- Improve internal tools and developer experience for ML experimentation and observability.
- Partner with ML engineers to optimize model deployment and monitoring across clinical workloads.
- Define standards for model versioning, performance tracking, and rollout processes.
- Collaborate with the engineering team to build reusable abstractions that accelerate AI product development.
- Drive performance, cost efficiency, and reliability improvements across the AI infrastructure stack.
