AI Machine Learning Engineer
The Hartford is an insurance company committed to making a difference and is seeking an AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. This role involves designing, building, and operationalizing production-grade AI solutions while collaborating with various partners to enhance the underwriting experience.
Responsibilities
- 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
Skills
- 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
- Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition.
- This 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).
Company Overview