Senior AI/ML Engineer — MLOps & Production AI

The Hartford; Charlotte (NC); Hybrid; USD 117,200 - 175,800; Full time

Job summary

The Hartford is seeking a Senior Machine Learning Engineer to build Machine Learning Operations services for its Customer Operations Data Science team. This role focuses on developing AI solutions that enhance customer experience and entails responsibilities such as designing production-grade AI solutions and mentoring junior engineers. Ideal candidates should have extensive experience with AWS, GCP, and a background in machine learning. The position offers a hybrid work schedule with competitive compensation ranging from $117,200 to $175,800 annually.

Qualifications

• 5+ years experience in machine learning and application development.
• Experience deploying web services in a cloud environment.
• Expert-level GitHub experience, including actions.

Responsibilities

• Research and implement ML algorithms and tools.
• Mentor junior engineers and provide thought leadership.
• Deliver milestones for model deployment in AWS and GCP.

Skills

AWS tools

GCP tools

Python

Agile methodology

CICD pipeline

MLOps

Cloud services

Data Structures

GitHub

Docker

Education

Master’s degree in a related field

5+ years equivalent experience

Tools

SageMaker

Apache Airflow

Terraform

Jenkins

Job description

The Hartford is seeking a Senior Machine Learning Engineer to build Machine Learning Operations services for its Customer Operations Data Science team. This role focuses on developing AI solutions that enhance customer experience and entails responsibilities such as designing production-grade AI solutions and mentoring junior engineers. Ideal candidates should have extensive experience with AWS, GCP, and a background in machine learning. The position offers a hybrid work schedule with competitive compensation ranging from $117,200 to $175,800 annually.