The Hartford seeks a Senior AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Customer Operations Data Science team. The role involves designing, building, and operationalizing production-grade AI solutions, partnering with product and engineering leaders. Responsibilities include research, implementation, model deployment, and mentoring junior engineers. Minimum qualifications include a Master's degree or equivalent experience with AWS and GCP tools.
Responsibilities
Research, experiment with, and implement suitable Generative and ML algorithms, tools and technologies.
Participate in identifying and assessing opportunities for new data sources and analytical techniques.
Review work with leadership and partners 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.
Collaborate with Enterprise Data, Data Science, Business, Cloud Enablement Team, and Enterprise Architecture teams.
Delivery of critical milestones for model deployment in AWS and GCP clouds.
Adopt and promote MLOps best practices to the Data Science community.
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 a research or DevOps function.