Senior Machine Learning Engineer

Key Responsibilities

• Design, train, and deploy machine learning models spanning classical ML (classification, regression, clustering, time-series) and generative AI use cases including LLM-based and agentic applications.
• 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.
• Apply neural networks and deep learning techniques using PyTorch for appropriate use cases alongside scikit-learn-based classical approaches.
• Write robust, production-ready code following engineering best practices; participate in code and design reviews.
• Leverage AI coding tools (such as Claude Code or equivalent) as part of your daily development workflow to improve velocity and code quality.
• Mentor junior engineers and contribute to team knowledge-sharing around ML best practices, tooling, and architecture decisions.
• Support integration of frontend components into ML-powered features where applicable.
• Contribute to retrospectives and team process improvements; actively participate in sprint planning and end-of-iteration demos.
• Adhere to all HIPAA, data governance, confidentiality, and regulatory requirements in all aspects of work.
• Maintain compliance with Inovalon’s policies, procedures, and mission statement, fulfilling responsibilities that support operational and financial success.

Qualifications

Required

• Minimum 5 years of experience