Role overview
Sr Data Engineer - GE07BE
We’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 seeks a driven, team-focused Senior Applied AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Claims Data Science team.
The Hartford has developed industry-leading capabilities, automated claims processes to enable smarter decision making. Through AI and ML products, we support a variety of functions including Claims triage, subrogation, fraud detection, and straight-through processing.
As a Senior Applied AI Machine Learning Engineer within the Claims Data Science organization, you will play a significant role in delivering these modern and sustainable AI solutions, generating impactful outcomes for the enterprise.
What you'll work on
- 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.
- Review work with leadership and partners on an ongoing basis to calibrate deliverables against expectations.
- Accountable for design, development and maintenance of Models as Service
- Work with junior engineers and peers to provide mentorship and thought leadership. Be comfortable presenting new concepts to technical audiences.
- Collaborate with partners Enterprise Data, Data Science, Business, Cloud Enablement Team, and Enterprise Architecture teams
- Delivery of critical milestones for model deployment in the AWS and GCP clouds.
- Adopt and promote MLOps best practices to the Data Science community.
- Proactively monitor cloud usage to drive cost-saving opportunities across cloud accounts and deployed infrastructure.
What we're looking for
- 4+ years of data engineering, data manipulation and application development
- 1+ years of experience in the insurance or broader financial services industry
- 4+ years SQL development experience
- 4+ years Python development experience
- 4+ years working with IAC, developing CICD pipelines
- Experience with emerging data-centric technologies such generative AI, Agentic workflows, and embedding LLM’s into automated processes
*Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
Compensation**
The 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. The base pay is just one component of The Hartford’s total compensation package for employees. 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 - $175,800
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age