Ind-staff Engineer

Hartford Fire Insurance

Puppalaguda Village, India
On-site
Statistical modeling and machine learning using python
End-to-end modeling lifecycle
Deep learning architectures
The Hartford Fire Insurance is seeking an Ind-Staff Engineer with expertise in statistical modeling and machine learning to support their innovative insurance solutions. The ideal candidate should possess strong technical skills in Python, SQL, and machine learning frameworks, alongside experience in model deployment and evaluation

Job Summary

  • We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies.
  • Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too.
  • Join our team as we help shape the future.

Matching Summary

Match Score: 85

The Hartford Fire Insurance is seeking an Ind-Staff Engineer with expertise in statistical modeling and machine learning to support their innovative insurance solutions. The ideal candidate should possess strong technical skills in Python, SQL, and machine learning frameworks, alongside experience in model deployment and evaluation.

Skills & Requirements

Must-have

  • statistical modeling and machine learning using Python
  • end-to-end modeling lifecycle
  • deep learning architectures
  • model evaluation and monitoring approaches
  • unstructured data processing
  • Git and Unix-based development environments
  • cloud-based AI platforms
  • NLP and Generative AI capabilities

Nice-to-have

  • familiarity with PyTorch and/or TensorFlow
  • experience with advanced GenAI applications
  • enterprise AI governance expectations

Key Requirements

  • 3+ years of experience applying deep learning architectures
  • 3+ years of exposure to basic container and cloud fundamentals

Work Rights

Not specified

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