Inovalon
Senior Machine Learning Engineer
Atlanta, Georgia, USA · Senior · full-time
No sponsorship$152k-$202kDetected 64 days ago
PythonFull-Stack DevelopmentGitSQLNoSQLAWSDockerKubernetesMachine LearningDeep LearningPyTorchscikit-learnData AnalysisData ScienceLLMsComplianceAgileEmployment LawHIPAAProblem Solving
About the role
- Therefore, we focus on empowering them with data-driven solutions.
- The Senior Full-Stack Machine Learning Engineer sits within the Insights Business Unit, which serves as Inovalon's central AI and machine learning hub.
- In this role, you will contribute to both classical machine learning and generative AI applications, including LLM-based and agentic solutions.
Responsibilities
- Build and maintain cloud-native solutions on AWS using containerized architectures (Docker, Kubernetes) to support scalable model serving and data pipelines.
- Own and contribute to the full Model Development Lifecycle (MDLC), including dataset versioning, model versioning, model registry management, and model evaluation frameworks.
- Develop and integrate Python-based ML components that work seamlessly with existing product platforms across multiple business units.
- Collaborate with AI Product Managers across the Insights BU and partner business units (Provider, Payer, Pharmacy) to translate business needs into AI solutions.
- Write robust, production-ready code following engineering best practices; participate in code and design reviews.
- Support integration of frontend components into ML-powered features where applicable.
- Maintain compliance with Inovalon's policies, procedures, and mission statement, fulfilling responsibilities that support operational and financial success.
- Frontend development skills to support full-stack ML feature work.
- Inovalon invests in associates to help them stay healthy, save for long-term financial goals, and manage the demands of work and personal commitments.
Requirements
- Expert-level Python proficiency
- Demonstrated experience with generative AI, LLMs, or agentic application development.
- Proficiency with PyTorch and neural network architectures.
- Practical knowledge of the Model Development Lifecycle (MDLC): dataset versioning, model versioning, model registry, and model evaluation.
- Containerization experience with Docker and/or Kubernetes.
- Preferred Experience with database technologies (SQL or NoSQL); familiarity with data pipeline tooling.
Nice to have
- Preferred Experience with database technologies (SQL or NoSQL)
- familiarity with data pipeline tooling.
Compensation
- Base Compensation Range $151,800-$202,000 USD This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3).
Benefits
- Healthcare domain experience or exposure to HIPAA-regulated environments.
- Education Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related technical field required.
- Master's degree or PhD in Computer Science, Machine Learning, or equivalent practical experience preferred.
- Inovalon Offers a Competitive Salary and Benefits Package In addition to the base compensation, this position may be eligible for performance-based incentives.
- The actual base pay offered may vary depending on multiple factors including, but not limited to, job-related knowledge/skills, experience, business needs, geographical location, and internal equity.
Company info
- Leverage AI coding tools (such as Claude Code or equivalent) as part of your daily development workflow to improve velocity and code quality.
- Daily usage of AI-assisted coding tools (e.g., Claude Code, GitHub Copilot, or similar) as part of standard development workflow.
Visa & Work Authorization
- Base Compensation Range $151,800-$202,000 USD This position is not eligible for immigration sponsorship (e
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This listing is sourced directly from Inovalon's careers page and normalized into a canonical job model.