Ind-software Engineer

Hartford Fire Insurance

Hybrid
Python statistical modelling and machine learning
Deep learning architectures with 3+ years experience
Sql for data exploration and feature development
Hartford Fire Insurance is seeking an IND Software Engineer with expertise in statistical modeling and machine learning, particularly using Python and SQL. The role demands experience across the end-to-end modeling lifecycle and familiarity with various machine learning frameworks, alongside strong communication skills to convey technical concepts

Job Summary

  • The role involves shaping the future of insurance by applying advanced statistical modelling and machine learning to solve complex business problems.
  • Candidates will be responsible for the end-to-end modelling lifecycle, from problem framing and experiment design to production validation and ongoing monitoring.
  • The position requires expertise in deploying Generative AI solutions, including Retrieval-Augmented Generation (RAG) and prompt engineering, within enterprise governance standards.

Matching Summary

Match Score: 85

Hartford Fire Insurance is seeking an IND Software Engineer with expertise in statistical modeling and machine learning, particularly using Python and SQL. The role demands experience across the end-to-end modeling lifecycle and familiarity with various machine learning frameworks, alongside strong communication skills to convey technical concepts.

Skills & Requirements

Must-have

  • Python statistical modelling and machine learning
  • Deep learning architectures with 3+ years experience
  • SQL for data exploration and feature development
  • Model evaluation, monitoring, and A/B testing design
  • Unstructured data processing with OCR and text normalization
  • Cloud-based AI platforms deployment (Vertex AI, SageMaker, etc.)
  • NLP and Generative AI capabilities including RAG

Nice-to-have

  • Familiarity with PyTorch and TensorFlow frameworks
  • Experience with Duck Creek or Ratabase environments
  • Knowledge graph integration and synthetic data generation
  • Agent or tool-use concepts in GenAI applications
  • Sentiment modelling and compliance use cases

Key Requirements

  • 3+ years experience applying deep learning architectures
  • Solid understanding of core machine learning methods
  • Experience with Git and Unix-based development environments
  • Basic container and cloud fundamentals for deployment workflows

Work Rights

Not specified

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