Sr AI Machine Learning Engineer

The Hartford

Hybrid

Quick summary

Work type: Hybrid
Location: Columbus, OHChicago, ILHartfordCharlotte, NC
Salary: $117,200–$175,800 / yr
Posted: 3 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $210k

This role $146k

$100k most similar roles pay here $277k

This role pays less than 86% of similar roles. Most pay $172,875–$247,875 — the shaded band above. At the midpoint, this role pays about $146k versus about $210k for comparable roles.

Based on 240 similar postings.

Employer

About The Hartford

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 61 open roles on FindRole.

Listed pay typically runs $131,600–$191,400 across 61 roles with salary data.

Most-posted roles

View all roles at The Hartford

At a glance

TL;DR · Sr AI Machine Learning Engineer

Apply Now Log in to save

The Hartford is hiring a Senior Machine Learning Engineer to join its Global Specialty Applied AI team, focusing on building MLOps services for advanced underwriting solutions. This role involves designing and operationalizing production-grade AI systems, collaborating closely with product, engineering, and platform teams to enhance decision-making processes. Key responsibilities include researching and implementing generative and ML algorithms, mentoring junior engineers, and deploying models in AWS and GCP environments while adhering to MLOps best practices. The ideal candidate has a master’s degree or equivalent experience, proficiency in Python for object-oriented development, and hands-on experience with cloud services, CI/CD pipelines, IAC tools like Terraform, and workflow automation platforms such as Apache Airflow. This position requires expertise in the end-to-end model lifecycle and familiarity with emerging data-centric technologies including generative AI and LLM integration.

Skills

AWS GCP Terraform Jenkins Python CI/CD CloudFormation Apache Airflow Unix Git Docker MLOps

What you'll do

Research and implement suitable ML algorithms and tools for production-grade solutions.
Identify new data sources and analytical techniques to maintain competitive advantage.
Design, develop, and maintain both traditional ML and AI models in AWS/GCP.
Mentor junior engineers and present technical concepts to peers and leadership.
Deliver critical milestones for model deployment in cloud environments.
Adopt and promote MLOps best practices within the Data Science community.

What we're looking for

Must be authorized to work in the U.S. now and in the future.
5+ years of experience in research or DevOps functions, or a Master’s degree in a related field.
Experience developing solutions within AWS and/or GCP clouds.
Proficiency in building CICD pipelines using Jenkins or similar tools.
Expertise in Unix, git, Python, and object-oriented development.
Knowledge of IAC (Infrastructure as Code) with Cloud Formation, Terraform, etc.
Experience in end-to-end model development lifecycle including post-production monitoring.