AI Machine Learning Engineer

The Hartford

AI Machine Learning Engineer building MLOps services to improve the underwriting experience at The Hartford. Collaborating on AI solutions and operationalizing production-grade AI systems.

Posted 6/14/2026full-timeHartford • Connecticut, Illinois, North Carolina, Ohio • 🇺🇸 United StatesJunior💰 $100,960 - $151,440 per yearWebsite

Tech Stack

Tools & technologies

AirflowApacheAWSCloudGoogle Cloud PlatformJenkinsPythonTerraformUnix

About the role

Key responsibilities & impact

Research, 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 teams
Delivery of critical milestones for model deployment in the AWS and GCP cloud environments.
Adopt and promote MLOps best practices to the Data Science community.

Requirements

What you’ll need

Must be authorized to work in the U.S. now and in the future.
1+ years of equivalent experience in a research or DevOps function.
Development experience developing solutions within AWS, GCP or both.
Exposure to developing repeatable architectural patterns; ability to identify redundancies and eliminate them with these patterns.
Familiarity with building and deploying API services within the Cloud.
Familiarity building CICD pipelines using Jenkins or equivalent
Exposure with IAC (Infrastructure as Code) including Cloud Formation, Terraform, or equivalents
Experience in Unix, git, and strong object oriented development experience using Python
Exposure to with workflow automation platforms (Apache Airflow, Autosys, similar)
Basic understanding of Data Science model development life cycle
Familiarity with emerging data centric technologies such generative AI, Agentic workflows, and embedding LLM’s into automated processes

Benefits

Comp & perks

short-term or annual bonuses
long-term incentives
on-the-spot recognition

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Generative algorithmsMachine Learning algorithmsAI modelsAWSGCPMLOpsAPI servicesCICD pipelinesInfrastructure as CodePython

Soft Skills

collaborationresearchproblem-solvinganalytical thinking