Inovalon · 9 hours ago
Senior Machine Learning Engineer
Nashville, TN
Full-time
Onsite
Senior Level, Lead/Staff
$152K/yr - $202K/yr
8+ years expInovalon is a company dedicated to transforming the healthcare ecosystem through technology and data. As a Senior Machine Learning Engineer, you will design and implement predictive models using healthcare data to enhance patient outcomes and operational efficiency.
AnalyticsHealth CareInformation Technology
No H1B
U.S. Citizen Only
Responsibilities
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
Qualification
Required
Minimum 8 years of total experience, with 4+ years focused on building and deploying classical ML models in a production environment
Proficiency in Python and standard ML libraries (e.g., scikit-learn, XGBoost, LightGBM, Statsmodels)
Strong understanding of statistical significance, hypothesis testing, and model interpretability (e.g., SHAP, LIME)
Experience with SQL and Big Data technologies (e.g., Spark/PySpark, Hadoop) for processing large-scale tabular datasets
Proficiency with AWS/GCP/Azure and containerization (Docker, Kubernetes). Experience with workflow orchestration like Airflow or Prefect
Proven track record with Feature Stores and automated model monitoring/drift detection
A data-first mindset that prioritizes statistical validity over 'black-box' approaches
Experience guiding junior engineers in best practices for code reviews and experiment tracking
The ability to explain complex model outputs to non-technical stakeholders (Product Managers, Clinicians)
Preferred
Familiarity with healthcare standards (HL7, FHIR, ICD-10 codes) and HIPAA regulations is a significant plus
Benefits
Health insurance
Life insurance
Company-paid disability
401k
18+ days of paid time off
Company
Inovalon
A technology company combining data analytics and targeted interventions to achieve meaningful impact across the healthcare landscape.
1001-5000 employees
Funding
Current Stage
Public CompanyTotal Funding
unknown2021-08-19Acquired
2015-02-12IPO
Leadership Team
Geoff Charron
Chief Technology Officer
Recent News
Business Wire
2025-12-04
Company data provided by crunchbase