AI/ML Manager - EST Timing - Bangalore Location

AI - ML MANAGERExp : 12-20 yearsLocation : BangaloreShift : EST Time Zone - 6PM IST - 3AM ISTInterested candidates share their profiles with the below details toEmail ID: Shanmukh.Varma@Total experience:Relevant experience:Current CTC:Expected CTC:Notice period:If Serving Notice period (Last working day):Key Responsibilities1. 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.2. AI Agent & Orchestration Development- 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.3. Data Engineering & Feature Pipelines- 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.4. Platform & API Integration- 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).5. Enterprise-Grade AI Delivery- 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.6. Cross-Functional Collaboration- 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 & ExperienceTechnical 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.Soft Skills- 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.-

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