Machine Learning Engineer

Machine Learning Engineer at Interwell Health, a kidney care management company. Develop and deliver end-to-end machine learning solutions, collaborate with engineers and clinicians, and lead the design and implementation of MLOps frameworks.

Requirements

• Bachelor’s degree in Computer Science, Data Analytics, Software/Computer Engineering, Computational Statistics, Mathematics, or a related discipline.
• 3+ years of end-to-end ML development in production (data prep, feature engineering, modeling, calibration, deployment, monitoring, maintenance).
• 3+ years of MLOps experience building production pipelines (CI/CD, model registry, feature store), implementing monitoring & drift detection, and automating retraining.
• 3+ years of Python for production ML (testing, packaging, type hints, linting) and SQL for analytical and production workloads; Scala a plus.
• 2+ years working with distributed compute and cloud ML environments (e.g., Spark/Databricks on Azure/AWS/GCP) and modern data ecosystems (data lakes, DBMS).
• Strong debugging and optimization skills across data and ML workflows.
• Track record of ownership and problem solving—driving measurable impact and quality under ambiguity and evolving requirements.
• Ability to communicate technical decisions clearly and contribute to documentation and design discussions.
• Demonstrated system design & architecture skills for scalable, high-performance ML services and batch/streaming workflows; familiarity with API design and service integration patterns.
• Proven understanding of tradeoffs in latency, cost, performance, and compliance.

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Relocation Assistance