Senior AI Machine Learning Engineer

The Hartford

Confirmed live yesterday High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Columbus, OHChicago, ILHartford, CTCharlotte, NC
Salary: $117,200–$175,800 / yr
Posted: 115 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $211k

This role $146k

$100k most similar roles pay here $280k

This role pays less than 90% of similar roles. Most pay $176,000–$246,150 — the shaded band above. At the midpoint, this role pays about $146k versus about $211k for comparable roles.

Based on 240 similar postings.

Employer

About The Hartford

The Hartford is a leading provider of property and casualty insurance, group benefits, and mutual funds, serving businesses and individuals across the United States. Industry: Insurance & Financial Services

The Hartford currently has 45 open roles on FindRole.

Listed pay typically runs $127,600–$191,400 across 37 roles with salary data.

Most-posted roles

View all roles at The Hartford

At a glance

TL;DR · Senior AI Machine Learning Engineer

Role Posting Log in to save

Senior AI Machine Learning Engineer joins the Customer Operations Data Science team to build and operationalize production-grade MLOps services. This role focuses on developing modern AI products that optimize customer interactions across omnichannel journeys, specifically supporting areas like the Contact Center, Premium Audit, and Billing. The engineer will research and implement Generative and ML algorithms, design Models as Service, and mentor junior engineers while promoting MLOps best practices. Key technical requirements include proficiency in Python, Java, or C#, along with experience in AWS and GCP environments using SageMaker, Streamlit, and Jenkins for CI/CD pipelines. The role requires expertise in Infrastructure as Code via Terraform or CloudFormation, knowledge of big data tools like Spark and Hadoop, and familiarity with RDBMS platforms such as Snowflake or BigQuery to solve complex problems in the insurance sector.

Skills

MLOps Python AWS GCP Generative AI LLM Terraform Cloud Formation CICD Jenkins GitHub Actions Docker Kubernetes Apache Airflow Spark Hadoop Hive Redshift Snowflake BigQuery SQL TensorFlow Scikit Learn Streamlit

What you'll do

Research, experiment with, and implement Generative AI and machine learning algorithms.
Design, develop, and maintain "Models as a Service" for production environments.
Build and deploy web services and data pipelines across AWS and GCP clouds.
Develop and manage CI/CD pipelines using Jenkins or equivalent tools.
Implement Infrastructure as Code (IaC) using CloudFormation or Terraform.
Promote MLOps best practices and provide technical mentorship to junior engineers.
Automate workflows using platforms like Apache Airflow or Autosys.
Monitor post-production models to ensure consistent performance and reliability.

What we're looking for

Must be authorized to work in the U.S. now and in the future.
Master's degree in a related field or 5+ years of experience in research or DevOps.
4+ years of experience in ML engineering, data manipulation, and application development.
4+ years of Python development experience.
4+ years of experience with Infrastructure as Code (IaC) and developing CI/CD pipelines.
Experience building and deploying web services using AWS and GCP tools including SageMaker and Streamlit.
Familiarity with big data technologies, RDBMS platforms like Snowflake or BigQuery, and workflow automation tools like Airflow.
1+ years of experience in the insurance or financial services industry.

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