AI Specialist
4 days ago
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 thinking - Strong 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 institutions - Certifications 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
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