Production ML Engineer for Healthcare AI

OON Systems LLC; New York (NY); Hybrid; USD 120,000 - 190,000; Full time

Job summary

OON Systems LLC is building AI-first infrastructure for complex healthcare workflows. As a Machine Learning Engineer, you will design, train, and deploy production models that improve decision quality, automate operational processes, and support real-world optimization across high-value workflows.

You will work across data pipelines, model development, evaluation, and deployment. Collaborate with product and engineering teams to move models from experimentation into production, and continuously

Qualifications

• Strong Python skills and experience with modern ML tooling.
• Strong foundation in machine learning, statistics, and production engineering.
• Ability to work across data, modeling, and deployment problems.
• Strong quantitative reasoning and problem-solving ability.

Responsibilities

• Design, train, and deploy machine learning systems for structured and unstructured healthcare workflow data
• Build scalable data pipelines for model training, evaluation, and monitoring
• Work on model optimization, feature engineering, and deployment reliability
• Collaborate with product and engineering teams to move models from experimentation into production
• Continuously improve model performance using real world outcomes and feedback loops

Skills

Python

ML tooling

Statistics

Problem solving

Data analysis

Tools

PyTorch

TensorFlow

Job description

OON Systems LLC is building AI-first infrastructure for complex healthcare workflows. As a Machine Learning Engineer, you will design, train, and deploy production models that improve decision quality, automate operational processes, and support real-world optimization across high-value workflows.

You will work across data pipelines, model development, evaluation, and deployment. Collaborate with product and engineering teams to move models from experimentation into production, and continuously