Machine Learning Engineer

About this role

Interwell Health, a kidney care management company, seeks a Machine Learning Engineer to develop and deploy end-to-end ML solutions in a remote role. You'll build scalable ML systems, establish MLOps frameworks, and collaborate with engineers and clinicians to create healthcare AI products that improve patient outcomes.

What you'll do

• Design and implement complete ML solutions from requirements through deployment and monitoring
• Build and maintain MLOps pipelines with CI/CD integration, drift detection, and automated retraining
• Monitor production model performance and address issues with remediation strategies
• Collaborate with engineers, product managers, and clinical staff on new ML products
• Develop API integrations between cloud systems and ML services
• Participate in architectural discussions to ensure compliance and scalability

What they're looking for

• Python for production ML (testing, packaging, type hints, linting)
• SQL for analytical and production workloads
• MLOps and pipeline development (CI/CD, model registry, feature stores)
• Distributed computing and cloud platforms (Spark, Databricks, Azure, AWS, GCP)
• Feature engineering, model development, calibration, and deployment
• LLM and prompt engineering capabilities
• Debugging and optimization across data and ML workflows
• Software engineering best practices for AI/ML systems