Senior Machine Learning Engineer

TRIARQ Health is looking for an experienced Machine Learning Engineer to lead the development and deployment of ML models that power intelligent products and insights. You will collaborate with teams across Data Science, Engineering, and Product to build solutions that are scalable, efficient, and impactful. Candidates with exposure to the healthcare domain are encouraged to apply, although this is not a mandatory requirement. We are looking for an experienced Machine Learning Engineer to lead the development and deployment of ML models that power intelligent products and insights. You will collaborate with teams across Data Science, Engineering, and Product to build solutions that are scalable, efficient, and impactful. Candidates with exposure to the healthcare domain are encouraged to apply, although this is not a mandatory requirement.

Key Responsibilities:

• Architect, build, and maintain end-to-end ML systems — from data pipelines to model deployment.
• Develop and optimize machine learning models for use cases such as classification, prediction, recommendation, NLP, or computer vision.
• Implement MLOps best practices for model training, tracking, deployment, and monitoring.
• Collaborate with data scientists and domain experts to productionize prototypes and research.
• Evaluate and monitor model performance; ensure robustness, fairness, and explainability.
• Document architecture and processes; contribute to knowledge sharing and code reviews.
• (Preferred) Work with EHR data, claims data, clinical notes, or healthcare interoperability formats like HL7 or FHIR, if applicable.