Senior Machine Learning Engineer, AI Agent Platform
GEICO
At a glance
AI generatedThe Hartford is seeking a Senior Machine Learning Engineer to join its Customer Operations Data Science team, focusing on building robust MLOps services. This role involves designing and operationalizing production-grade AI solutions, collaborating closely with product, engineering, and operations teams to enhance customer experience across omnichannel journeys in areas like the Contact Center and Billing. The ideal candidate will have expertise in AWS and GCP tools, including SageMaker and Streamlit, along with strong Python development skills and experience in CI/CD pipelines using Jenkins or similar tools. Additionally, proficiency in big data technologies, IAC practices, and workflow automation platforms is essential. This position requires a deep understanding of the end-to-end model lifecycle and the ability to mentor junior engineers while promoting MLOps best practices within the Data Science community.
Skills
What you'll do
What we're looking for
Market check
This $117,200–$175,800 range sits above 10% of similar postings on FindRole.
Peer median band
$171,700–$261,300
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$179,493–$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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