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Get AI-powered advice on this job and more exclusive features. Direct message the job poster from WellRithms, Inc. Our Ideal Candidate 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. 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. Please Note:

At this time, we are unable to consider applicants who require work visa sponsorship. Candidates must be authorized to work in the United States without current or future sponsorship. Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

Job function Project Management, Design, and Engineering Industries Hospitals and Health Care Referrals increase your chances of interviewing at WellRithms, Inc. by 2x Inferred from the description for this job

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