Senior AI Machine Learning Engineer
The Hartford
At a glance
AI generatedThe Hartford is hiring a Senior AI Machine Learning Engineer to join its Global Specialty Applied AI team, focusing on building MLOps services. This role involves designing and operationalizing production-grade AI solutions by collaborating with product, engineering, and platform leaders to enhance the underwriting experience through advanced AI capabilities. Key responsibilities include researching and implementing generative and ML algorithms, assessing new data sources and analytical techniques, mentoring junior engineers, and delivering critical milestones for model deployment in AWS and GCP clouds. The ideal candidate has extensive experience in cloud development, CICD pipelines, IAC tools like Cloud Formation or Terraform, Unix, git, Python, and workflow automation platforms such as Apache Airflow. Additionally, familiarity with emerging data-centric technologies including generative AI and LLM integration is essential for this role that aims to drive measurable impact through practical and evolutionary solutions.
Skills
What you'll do
What we're looking for
Market check
This $117,200–$175,800 range sits above 15% of similar postings on FindRole.
Peer median band
$166,683–$241,100
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$162,000–$246,150
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
The Hartford is a leading provider of property and casualty insurance, group benefits, and mutual funds, serving businesses and individuals across the United States. Industry: Insurance & Financial Services
The Hartford currently has 60 open roles on FindRole.
Listed pay typically runs $126,880–$190,320 across 60 roles with salary data.
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