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Project Manager
JOB_REQUIREMENTS
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Employment Type
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Company Location
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Salary
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Key Responsibilities
1. AI/ML Model Development
Required Skills & Experience
Technical Skills
Preferred Qualifications
1. AI/ML Model Development
- Build, fine-tune, and evaluate ML/LLM models for classification, prediction, summarization, RAG, and agentic workflows.
- Develop modular, reusable model pipelines supporting multi-tenant architectures.
- Conduct experimentation, A/B testing, and performance tuning.
- Implement agentic frameworks (multi-step reasoning, workflows, tool use).
- Integrate AI agents into orchestration layers (Drools, microservices, API gateways).
- Build domain-specific ontologies, embeddings, vector search, and retrieval layers.
- Build ETL/ELT pipelines, feature stores, and real-time data ingestion using Python and SQL.
- Work with structured/unstructured data including EDI, FHIR, PDFs, medical records.
- Develop secure, scalable APIs (REST/GraphQL) for embedding AI into product workflows.
- Integrate AI modules with microservices, Postgres DB, event queues, and messaging layers.
- Work closely with DevOps to deploy models into containerized environments (AWS, Docker, Lambda).
- Implement monitoring, guardrails, safety filters, hallucination-mitigation and auditability.
- Ensure HIPAA, PHI, SOC2, CMS-compliant AI operations.
- Drive MLOps best practices including CI/CD pipelines, versioning, and model governance.
- Work with product, clinical, engineering, and client teams to translate real-world use cases into scalable AI solutions.
- Collaborate with SMEs in UM/CM, provider operations, risk, fraud, and claims workflows.
Required Skills & Experience
Technical Skills
- Strong Python development (FastAPI, LangChain, LlamaIndex, PyTorch, transformers).
- Hands-on LLM experience (OpenAI, AWS Bedrock, local models like Llama, Mistral).
- Experience with vector databases (Pinecone, PGVector, Chroma).
- Solid SQL experience (PostgreSQL preferred).
- Experience building microservices and event-driven systems.
- Knowledge of AWS stack: Lambda, S3, EC2, API Gateway, Step Functions.
- Experience with AI agents, RAG pipelines, and orchestration frameworks.
- Familiarity with healthcare standards (FHIR, EDI 278/837/835) is a strong plus.
- Strong problem-solving, analytical thinking, and debugging skills.
- Ability to work in fast-paced, ambiguous, product-driven environments.
- Excellent communication skills for cross-functional collaboration.
Preferred Qualifications
- 12–18+ years of experience in AI/ML engineering or software engineering with AI integration.
- Experience in payers, providers, health tech, or regulated industries.
- Exposure to rule engines (Drools/Blaze/Sparkling Logic) and BPM/orchestration systems.
- Experience with RPA, document processing, OCR/NLP, or medical record extraction.
Qualifications
Graduate
Range of Year Experience-Min Year
12
Range of Year Experience-Max Year
18
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