Role Summary
Hands-on AI professional with 4–7 years of experience focused on building and deploying AI-driven solutions across the insurance value chain. This role emphasizes advanced AI techniques including LLMs, NLP, computer vision, and generative AI.
Key Responsibilities
- Design and implement AI / ML models for underwriting, claims, and customer experience.
- Develop generative AI solutions for policy summarization and agent assistance.
- Deploy conversational AI and LLM-based chatbots for customer service.
- Collaborate with business and IT teams to embed AI into workflows.
- Enable AI-first insurance products and services.
- Automate document understanding using OCR + NLP + LLMs
- Fine-tune open-source LLMs like LLaMA, Use GenAI for policy summarization and customer communication etc.
- Deploy conversational AI for customer service and agent assistance.
- Apply computer vision for image-based claims assessment.
- Implement AI-driven fraud detection and anomaly detection.
- Build GenAI-powered knowledge retrieval for internal teams.
Required Skills & Expertise
Strong Problem-solving skills and first principal thinkingStrong in Python, TensorFlow / PyTorch, scikit-learn, and transformer-based models.Experience with OCR tools and NLP pipelines.Hands-on with LLM fine-tuning, prompt engineering, and RAG pipelines.Familiarity with cloud AI platforms (Azure ML, AWS Sagemaker, GCP Vertex AI).Basic SQL and data wrangling for modeling.Preferred Qualifications
Bachelor’s / Master’s in Computer Science, AI, Data Science, or related field from leading institutionsCertifications in AI / ML (e.g., AWS ML Specialty, Azure AI Engineer) are a plus.What We’re NOT Looking For
Pure BI / reporting profiles .
Candidates limited to basic analytics or dashboarding