Senior AI Machine Learning Engineer

Minimum Requirements

• Bachelor’s degree in related field or 6 + years of equivalent experience in s oftware engineering, data engineering, ML / DevOps engineering, applied AI engineering, or closely related technical roles.
• Master's degree in computer science, engineering, information technology, MIS, data science, or related discipline preferred.
• Strong hands-on expertise in Python, SQL, SDLC practices, Git-based development, automated testing, and production-grade code delivery.
• Experience deploying and operating data, AI, or ML workloads in AWS and GCP, including cloud storage, managed compute, orchestration, IAM-aware access patterns, logging, and monitoring.
• Experience with ML engineering concepts such as feature pipelines, model training workflows, batch scoring, inference services, model monitoring, drift detection, validation, retraining, and production support.
• Ability to work within defined architecture, enterprise security standards, data governance expectations, coding standards, and operational controls.
• Ability to lead implementation work, guide junior engineers, communicate tradeoffs, and manage multiple model/pipeline deliverables with limited day-to-day direction.

Preferred Experience

Success Profile

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:
• Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age