IND Lead Engineer
The Hartford (company site, opens in a new tab)On-siteDirect career pageEst. 25–45 LPA
Posted 20h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead end-to-end AI and analytics modeling lifecycle including experiment design, evaluation, and production monitoring.
- Design, develop, and deploy advanced machine learning, deep learning, NLP, and conversational AI solutions, including chatbots and RAG pipelines.
- Implement business intelligence solutions with dimensional modeling and manage AI governance, compliance, and evaluation strategies in insurance domain contexts.
Minimum Requirements
- Proficiency in Python (pandas, NumPy, scikit-learn), strong SQL skills, and familiarity with PyTorch and/or TensorFlow.
- Experience with cloud AI platforms (Google Vertex AI, AWS SageMaker, Azure AI Services) and containerized analytics workflows.
- Foundational knowledge of insurance products and regulatory environment relevant to underwriting, claims, and pricing.
- Work Experience Required: Not explicitly mentioned in the JD
Ideal Candidate Profile
- Demonstrated ability to apply advanced machine learning and generative AI techniques in regulated insurance environments.
- Experienced in designing operational AI evaluation, monitoring strategies, and production-level deployment within enterprise governance frameworks.
- Skilled communicator capable of translating complex AI/analytics technical details into clear business outcomes for diverse stakeholders.