AI ML Developer

We are looking for a seasoned AI/ML professional to drive AI innovation in the Insurance domain, leveraging Generative AI and Agentic AI systems to transform underwriting, claims processing, fraud detection, and customer experience. This role requires a blend of deep technical expertise and domain understanding in BFSI/Insurance workflows.

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Key Responsibilities

· Design and deploy AI/ML models for insurance use cases such as:

o Claims automation

o Underwriting risk assessment

o Fraud detection & anomaly detection

o Policy servicing and customer insights

o Leakage Analysis

· Build Generative AI solutions for:

o Automated document processing (policy docs, claims, KYC)

o Intelligent customer support (chatbots, virtual assistants)

o Report and summary generation

· Develop Agentic AI systems to:

o Automate multi-step insurance workflows (e.g., claims lifecycle)

o Orchestrate decision-making agents interacting with internal tools/APIs

o Enable autonomous underwriting or claims triaging systems

· Implement RAG pipelines for:

o Policy document retrieval

o Regulatory compliance assistance

o Knowledge-based customer support

· Work with structured and unstructured data:

o Claims records, policy documents, call transcripts, images

· Ensure regulatory compliance (IRDAI guidelines, data privacy, auditability)

· Deploy scalable solutions using cloud and MLOps best practices

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Required Skills & Qualifications

AI/ML Expertise

· Strong background in Machine Learning, Deep Learning, NLP

· Experience in:

o Classification, regression, clustering, anomaly detection

o Computer vision (for claims image assessment – preferred)

Generative AI

· Hands-on experience with:

o LLMs (GPT, Llama, etc.)

o Prompt engineering and evaluation

o Fine-tuning approaches (LoRA, PEFT)

· Use cases in:

o Document understanding (OCR + LLM pipelines)

o Conversational AI

Agentic AI

· Experience building:

o Autonomous agents for workflow automation

o Multi-agent collaboration systems

· Familiarity with:

o Planning, memory, and tool usage in agents

o Frameworks like LangChain Agents, AutoGen, CrewAI

Insurance / BFSI Domain Knowledge

· Strong understanding of:

o Insurance lifecycle (policy issuance → claims → settlement)

o Claims processing workflows (FNOL, adjudication, payout)

o Underwriting processes and risk scoring

o Fraud detection techniques in insurance

Data & Tech Stack

· Python, SQL

· Frameworks: PyTorch / TensorFlow, Hugging Face

· Vector DBs: FAISS, Pinecone, Weaviate

· Cloud: AWS / Azure / GCP

· Data Platform: Databricks

· Tools: Docker, Kubernetes

MLOps & Productionization

· Model deployment, monitoring, and lifecycle management

· CI/CD pipelines for ML systems

· Experience integrating AI with enterprise systems (APIs, core insurance platforms)

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Preferred Qualifications

· Experience working with insurance companies, TPAs, or InsurTech firms

· Exposure to:

o OCR tools (for claims/document digitization)

o Knowledge graphs for policy relationships

· Familiarity with regulatory frameworks in India or glob