IND Lead Engineer, Data

Overview

Lead data engineering role focused on statistical modeling, machine learning, advanced analytics, business intelligence, conversational AI, and generative AI solutions for insurance applications.

What you'll do

• Build statistical modeling, machine learning, deep learning, NLP, and advanced analytics solutions.
• Manage modeling and analytics lifecycles from requirements gathering through evaluation, monitoring, and validation.
• Design business intelligence and semantic layer solutions using dimensional models, fact tables, and defined metrics.
• Develop evaluation and monitoring strategies for classification, forecasting, ranking, RAG, and business KPIs.
• Design and deploy chatbots, virtual assistants, intelligent agents, and RAG pipelines.
• Apply document parsing, OCR, text normalization, metadata, lineage, and PII considerations to insurance data.
• Communicate technical designs, risks, trade-offs, and evaluation results to technical and business audiences.

What you'll need

• Experience with Python, pandas, NumPy, scikit-learn, and complex SQL.
• Knowledge of machine learning, deep learning, and NLP algorithms and architectures.
• Experience with data warehouses or data lakes and semantic layer design.
• Experience with cloud AI platforms such as Google Vertex AI, AWS SageMaker or Bedrock, or Azure AI Services.
• Experience with Git, Unix-based environments, reproducible notebooks or pipelines, containers, and cloud concepts.
• Knowledge of insurance products, underwriting, claims, pricing, and regulated industry environments.
• Experience with embeddings, retrieval strategies, chunking, prompt engineering, structured outputs, and knowledge graphs.

Nice to have

• Familiarity with PyTorch and/or TensorFlow.
• Exposure to advanced generative AI applications in insurance.

Details

• Location: Puppalaguda Village, India.