IND Lead Engineer, Data
Core
Lead Data Engineer responsible for end-to-end statistical modeling, machine learning, and conversational AI solutions (chatbots, RAG pipelines) within the insurance industry.
Role type
Lead Data Engineer (AI/ML & Conversational AI)
Builds
Production ML models, conversational AI agents, and BI/semantic layer solutions for insurance underwriting, claims, and pricing.
Domain
Insurance / Artificial Intelligence / Machine Learning / Natural Language Processing
Deliverable
production ML models
Required skills
statistical modeling, machine learning, deep learning, natural language processing, Python, SQL, PyTorch, TensorFlow, data warehouse design, evaluation and monitoring strategies, conversational AI design, document parsing and OCR, cloud AI platforms, Git, containerization, insurance domain knowledge, enterprise AI governance.
Preferred skills
experience with Google Vertex AI, AWS SageMaker, Azure AI Services, knowledge graphs, synthetic data generation.
Technologies
Python, pandas, NumPy, scikit-learn, PyTorch, TensorFlow, SQL, Google Vertex AI, AWS SageMaker, Bedrock, Azure AI Services, Git, Docker, Kubernetes.
Responsibilities
Design and implement business intelligence and semantic layer solutions; design and operationalize evaluation and monitoring strategies for AI models; design, develop, and deploy conversational AI solutions; work with unstructured data including document parsing and OCR; communicate technical designs and risks to business audiences.
Seniority
Lead, hands-on IC with mentorship responsibilities