Sr AI Machine Learning Engineer

Sr Data Engineer - GE07BEWe’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.

The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team.The Hartford is developing industry leading AI and machine learning capabilities to improve the various facets of the Global Specialty underwriting experience.

On the Global Specialty Applied AI team, we utilize the latest AI products and frameworks to accelerate the processes that our partners touch day to day and advance the speed and intelligence with which we make our decisions.

As a Senior Machine Learning AI Engineer, you will play a critical role in designing, building, and operationalizing production grade AI solutions—partnering closely with product, engineering, and platform leaders to deliver measurable impact.Our core valuesWe build AI solutions, not models.

We provide assets that are safe to buy.

With humble confidence, we listen carefully to learn from our customers and become partners in problem solving.ResponsibilitiesResearch, experiment with, and implement suitable Generative and ML algorithms, tools and technologies.Participate in identifying and assessing opportunities i.e.

value of new data sources and analytical techniques and technology, to ensure ongoing competitive advantage.Accountable for deployment design, development and maintenance of both traditional ML and AI models.

Collaborate with partners Enterprise Data, Applied AI, Business, Cloud Enablement Team, and Enterprise Architecture teamsDelivery of critical milestones for model deployment in the AWS and GCP clouds.Adopt and promote MLOps best practices to the Data Science community.Master’s degree in related field or 5+ years of equivalent experience in a research or DevOps function.Development experience developing solutions within AWS, GCP or both.

Experience building and deploying API services within the Cloud.

Experience building CICD pipeline using Jenkins or equivalentExperience with IAC (Infrastructure as Code) including Cloud Formation, Terraform, or equivalentsExperience in Unix, git, and strong object oriented development experience using Python Experience in end to end model development lifecycle, from ideation through post production monitoring.Experience with workflow automation platforms (Apache Airflow, Autosys, similar)Basic understanding of Data Science model development life cycleFamiliarity with emerging data centric technologies such generative AI, Agentic workflows, and embedding LLM’s into automated processesThis role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).The company will not support the STEM OPT I-983 Training Plan endorsement for this position.CompensationThe listed annualized base pay range is primarily based on analysis of similar positions in the external market.

Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role.

Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition.

The annualized base pay range for this role is:$117,200 - $175,800Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/AgeAbout Us Our Culture What It’s Like to Work Here Perks & BenefitsSummaryLocation: Hartford, CT; Chicago, IL-200 W Madison StType: Full time