General Purpose
We are seeking a Senior Machine Learning Engineer who wants to use Artificial Intelligence, including Generative AI, to fix a broken healthcare system for the benefit of all. The ideal candidate possesses a strong foundation in machine learning frameworks, experience working with healthcare data, and the ability to build scalable AI-driven solutions. You thrive in a collaborative environment, working cross-functionally to develop and deploy cutting-edge models that enhance billing accuracy, identify fraud, and contribute to the development of new AI-powered products.
Duties & Responsibilities
- Develop and deploy machine learning models for billing automation, cost prediction, and new product development.
- Build and optimize end-to-end machine learning pipelines for data ingestion, model training, validation, and deployment.
- Design scalable Machine Learning (ML) pipelines integrating Object Character Recognition (OCR) and Natural Language Processing (NLP) technologies.
- Develop automated testing frameworks for ML models and integrate them into pipelines for seamless model deployment.
- Develop APIs and microservices to enable seamless integration of AI models into existing business applications.
- Collaborate with cross-functional teams (product, technology, operations, etc.) to align AI solutions with business goals.
- Implement techniques to improve transparency in AI decision-making, ensuring traceability and model explainability.
- Ensure compliance with healthcare data regulations (e.g. HIPPA, HiTrust, etc.).
Qualifications
- Bachelor’s or Masters (preferred) degree in Computer Science, Engineering, or highly quantitative field related to healthcare.
- 5+ years of experience in Machine Learning (ML) model development and deployment for business applications.
- Proficiency in Python, TensorFlow/PyTorch, and cloud platforms (AWS or similar).
- Expertise in designing and deploying NLP / OCR solutions for text extraction and processing. Experience building applications leveraging GenAI. Experience with MLOps best practices for production-ready solutions.
- Strong understanding of algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing, machine learning, and database systems (mostly SQL) to support ML workflows.
- Strong problem-solving skills and the ability to work independently.
- Ability to deploy ML models as scalable APIs using Flask, FastAPI, or similar frameworks.
- Experience working with healthcare data (EHR, insurance claims, etc).
- Awareness of HIPAA, GDPR, and other healthcare-specific regulations related to AI.
- Most importantly, you are curious and rebel against dogma.
Classification: Salary Exempt
Status: Full-time Regular
Starting Salary: $150,000
Apply Now
