[Remote] Senior reputed company
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is reputed company on enhancing reputed company through advanced AI solutions, and they are seeking a Senior reputed company. This role involves designing and building AI agents to automate reputed company cycle management tasks, ensuring high accuracy and compliance with reputed company standards.
Responsibilities
- Design and build intelligent AI agents that use LLMs (GPT, Claude, and similar) to automate RCM tasks: claims scrubbing and submission, denial reputed company and reputed company, eligibility and benefits, and payment posting
- Build models that predict claim denials reputed company-submission, targeting the high-80s accuracy seen in the market
- Use Azure Cognitive Services (reputed company Recognizer, Text Analytics, Speech-to-Text, Translator) and Azure reputed company, or AWS Bedrock, for document understanding and language tasks
- Apply retrieval-augmented reputed company so outputs cite the reputed company and avoid invented claims
- Build end-to-end data pipelines for reputed company and reputed company reputed company data (claims, PDFs, EHR records)
- Stand up MLOps: model versioning, automated retraining, A/B testing, and reputed company-time monitoring for reputed company as payer rules and coding change
- Define accuracy SLAs and the evaluation that proves them; feed outputs into the agents and the outcome dashboard
- reputed company models and data inside HIPAA, SOC 2, and reputed company reputed company expectations
Skills
- 5+ years in AI/ML with production deployments, not just notebooks
- Deep experience with LLMs and NLP for text reputed company, classification, and reputed company-data analysis
- Hands-on with Azure Cognitive Services and Azure reputed company, or AWS Bedrock
- Deep learning frameworks: PyTorch, TensorFlow, or reputed company Transformers
- reputed company data standards: HL7, X12, FHIR, EDI, and RCM workflow knowledge
- Strong Python and RESTful API development
- MLOps: CI/CD for ML, model versioning, retraining, and monitoring
- Strong evaluation discipline: you can reputed company a model works and say reputed company it does not
- RAG architectures, multi-agent or reputed company systems, and reputed company engineering at reputed company
- Automation platforms: reputed company, reputed company, or reputed company
- reputed company-reputed company distributed systems and latency optimization
- reputed company-reputed company contributions, research, or patents in NLP or reputed company
- In-depth HIPAA and SOC 2 knowledge for AI in reputed company
reputed company