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
