Sr Machine Learning Engineer

Sr Data Engineer - GE07BE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.

The Hartford is seeking a Machine Learning Engineer within Middle and Large Data Science, AI, and Analytics to design, develop, and implement modern and sustainable data assets to fuel machine learning and artificial intelligence solutions across a wide range of strategic initiatives.

The Middle & Large Business Data Science, AI, and Analytics team is one of three business-aligned teams in the broader Business Insurance Data Science, AI, and Analytics organization. Our team has cultivated a reputation for driving cross-functional, multi-faceted solutions for not only our Middle and Large Business partners, but the enterprise as a whole. Our portfolio ranges from real-time modeling capabilities that deliver actionable insights for our partners for all phases of the policy lifecycle to cutting-edge generative and agentic AI solutions that bridge the accessibility gap across data and platform to ETL pipelines that traverse all manner of databases and data formats.

As a Machine Learning Engineer, you will participate in the entire model development lifecycle process in support of the data, AI, and modeling solutions built by the team, while growing your knowledge of emerging technologies. We use the latest data technologies, software engineering practices, ML/AIOps, Agile delivery frameworks, and are passionate about building well-architected and innovative solutions that drive business value. This cutting edge and forward focused organization presents the opportunity for collaboration, self-organization within the team, and visibility as we focus on continuous business data and analytics delivery.

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

Primary Job Responsibilities

Design, develop, maintain, and optimize scalable, efficient, and secure machine learning pipelines in production

Implement and promote ML/AIOps practices to automate and streamline the deployment, monitoring, and maintenance of machine learning models

Consult with data scientists and data engineers to optimize model structure and feature engineering for production

Review work with leadership and partners on an ongoing basis to calibrate deliverables against expectations

Conduct code reviews and provide mentorship to junior engineers

Collaborate with AI/ML platform teams and architects for direct contribution to the design, development, and maintenance of machine learning model delivery frameworks (real-time or batch), architecture, and best practices

Stay up-to-date with the latest advancements in machine learning, ML/AIOps, and related technologies

Skills

Experience with ML/AIOps tools and practices in an enterprise cloud environment, including WebServices using RESTful API, CI/CD pipeline using Jenkins or equivalent, cloud resource deployments, identity and access management, automated testing, and model monitoring

Strong application development experience using Python in AWS, GCP or other enterprise cloud environments

Experience with working with IaC solutions such as CloudFormation or Terraform.

Familiarity with machine learning algorithms, metrics and the end-to-end AI/ML development lifecycle, from ideation through post-production monitoring

Strong understanding of data structures, big data technologies (i.e. Hadoop, Spark, Hive, etc.) and RDBMS

Experience with Solution Design and Architecture of data and ML pipelines as well as integrating with enterprise systems

Experience building orchestration frameworks for real-time, streaming and batch, and asynchronous and synchronous services in cloud environment

Experience with Agile methodologies

Experience with version control such as git

Familiarity with generative and agentic AI technologies and tools

Some experience in guiding and mentoring junior engineers

Proficiency in cloud platforms; AWS Cloud or GCP experience preferred

Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

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:

$117,200 - $175,800

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

About Us Culture & Employee Insights Diversity, Equity and Inclusion Benefits

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