Senior AI Machine Learning Engineer is a MLOps Engineer role (full-time). with The Hartford. in REMOTE, CHICAGO, US. Imported listing (source: glassdoor.com). Apply on the employer's site (glassdoor.com).
Imported listing (source: glassdoor.com) · Apply on glassdoor.com
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Imported job description
Sourced from glassdoor.com
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.
The Hartford is a prominent insurance and financial services company providing property and casualty insurance, group benefits, and mutual funds. It serves individuals and businesses, with a notable long-standing partnership providing insurance for AARP members.