The Hartford is seeking a Senior AI Machine Learning Engineer to build MLOps services for the Global Specialty Applied AI team. The role involves designing, building, and operationalizing production-grade AI solutions in partnership with product, engineering, and platform leaders. The team focuses on delivering safe, monitored AI assets and earning influence through humble confidence.
Responsibilities
Research, experiment with, and implement Generative and ML algorithms, tools, and technologies.
Participate in identifying opportunities for new data sources and analytical techniques.
Accountable for deployment design, development, and maintenance of ML and AI models.
Mentor junior engineers and present new concepts to technical audiences.
Collaborate with Enterprise Data, Applied AI, Business, Cloud Enablement, and Enterprise Architecture teams.
Deliver critical milestones for model deployment in AWS and GCP clouds.
Adopt and promote MLOps best practices.
Requirements
Must be authorized to work in the U.S. now and in the future.
Master's degree in related field or 5+ years of equivalent experience in research or DevOps.
Development experience with AWS and/or GCP.
Experience building and deploying API services in the cloud.
Experience with CI/CD pipelines (Jenkins or equivalent).