Senior Machine Learning Engineer

Overview

Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we focus on empowering customers with data-driven solutions to improve healthcare. Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare’s greatest needs within a mission-based culture of inclusion and innovation.

As a Senior Machine Learning Engineer, you will focus on the design and implementation of high-performance predictive models using structured and semi-structured healthcare data. You will bridge the gap between statistical research and production-grade software, turning raw clinical and claims data into actionable predictions that improve patient outcomes and operational efficiency.

• Model Development:
  Design, train, and optimize classical ML models (Classification, Regression, Clustering, Time-Series) for healthcare use cases.
• Feature Engineering:
  Architect and maintain advanced feature pipelines and feature stores to ensure the most relevant signals are extracted from complex claims data.
• End-to-End Deployment:
  Manage the full ML lifecycle, from exploratory data analysis (EDA) and hyperparameter tuning to deploying models as high-availability microservices.
• Software Engineering:
  Write robust, production-ready Python code, ensuring that ML components integrate seamlessly with our core healthcare platforms.
• Performance & Validation:
  Conduct rigorous statistical validation of models to ensure accuracy, fairness, and the absence of bias, particularly in clinical decision-support tools.
• On-Call & MLOps:
  Participate in an on-call rotation to support production pipelines. Advance CI/CD frameworks specifically for ML (Model CI), ensuring seamless retraining and redeployment.
• Compliance:
  Lead audits and ensure all ML workflows strictly adhere to HIPAA and Inovalon’s internal data governance policies.

• Experience:
  
  Minimum 8 years of total experience, with 4+ years focused on building and deploying classical ML models in a production environment.
• Technical Stack:
  Proficiency in Python and standard ML libraries (e.g., scikit-learn, XGBoost, Light
  
  GBM, Stats models).
• Deep Statistical Knowledge:
  Strong understanding of statistical significance, hypothesis testing, and model interpretability (e.g., SHAP, LIME).
• Data Tools:
  Experience with SQL and Big Data technologies (e.g., Spark/PySpark, Hadoop) for processing large-scale tabular datasets.
• Cloud & MLOps:
  Proficiency with AWS/GCP/Azure and containerization (Docker, Kubernetes). Experience with workflow orchestration like Airflow or Prefect.
• Architecture:
  Proven track record with Feature Stores and automated model monitoring/drift detection.
• Domain Knowledge:
  Familiarity with healthcare standards (HL7, FHIR, ICD-10 codes) and HIPAA regulations is a significant plus.

• Analytical Rigor: A data-first mindset that prioritizes statistical validity over "black-box" approaches.
• Mentorship:
  Experience guiding junior engineers in best practices for code reviews and experiment tracking.
• Collaborative Spirit:
  The ability to explain complex model outputs to non-technical stakeholders (Product Managers, Clinicians).

In addition to the base compensation, this position may be eligible for performance-based incentives. The actual base pay offered may vary depending on factors including knowledge/skills, experience, business needs, location, and internal equity. Base compensation range: $151,800—$202,000 USD.

This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (US-based positions)

Inovalon invests in associates to help them stay healthy, save for long-term financial goals, and manage work and personal commitments. The benefits package may include health insurance, life insurance, company-paid disability, 401k, and paid time off.

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Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement.