The Hartford
Overview
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’s Personal Lines Data Analytics team seeks an energetic and passionate Senior Machine Learning Engineer to help build and scale our next-generation Machine Learning Operations (MLOps) & GenAI platforms. This role blends software engineering, DevOps, and machine learning expertise to deliver robust, scalable, and secure AI/ML solutions. You will be instrumental in enabling our data science teams to deploy models efficiently and responsibly in production environments. We are looking for talent who embraces our core values.
Responsibilities
Research, experiment with, and implement suitable frameworks, tools, and technologies to enable AI/ML decision-making at scale.
Identify and assess opportunities, such as the value of new data sources and analytical techniques, to ensure ongoing competitive advantage.
Review work with leadership and partners on an ongoing basis to calibrate deliverables against expectations.
Own the design, development, and maintenance of MLOps and GenAI platforms and services.
Mentor junior engineers and provide thought leadership.
Collaborate with Enterprise Data, Data Science, Business, Cloud Enablement Team, and Enterprise Architecture teams.
Deliver critical milestones for model deployment in Google Cloud Platform (GCP) and AWS.
Develop, adopt, and promote MLOps best practices within the Data Science community.
Implement infrastructure-as-code using Terraform or CloudFormation to automate deployments.
Contribute to the development of agentic AI capabilities and support experimentation with LLMs and GenAI frameworks.
Requirements
Must be authorized to work in the U.S. now and in the future.
Bachelor's degree in related field and 5+ years of experience.
Solid understanding of the ML lifecycle: model training, deployment, monitoring, and feedback loops.
Strong application development experience using Python.
3+ years of hands-on experience developing with one of the public clouds, including tools and techniques to auto-scale systems.
Experience with CI/CD and IAC tools (e.g., Terraform, Jenkins, GitHub Actions) and containerization (Docker, Kubernetes).
Good understanding of Generative AI technologies, frameworks, key LLMs, and architecture patterns.
Exposure to agentic AI architectures and prompt engineering.
Good understanding and experience building orchestration frameworks for real-time and batch model services.
Good understanding of various model development algorithms and ML use case types (e.g., regression, classification).
Strong fundamentals in data structures and algorithms.
Preferred Skills
WebService API development with AWS tooling.
Familiarity with big data technologies (Hadoop, Spark, Hive, etc.) and RDBMS.
Hands-on experience with GCP, especially Vertex AI, Cloud Run, BigQuery, and GKE.
Basic understanding of ML frameworks (TensorFlow, Scikit-Learn, etc.).
Experience with Agile frameworks and Scrum/Kanban project management.
Compensation The listed annualized base pay range is based on analysis of similar positions in the external market. Actual base pay can vary and may be above or below the listed range based on factors including performance, proficiency, and demonstrated competencies. The base pay is one component of The Hartford’s total compensation package. Other rewards may include bonuses, long-term incentives, and recognize-offers. The annualized base pay range for this role is:
$117,200 - $175,800
Location & Schedule This role has a hybrid schedule with an expectation of working in-office 3 days a week (Tuesday through Thursday) in one of the following locations: Columbus, OH; Chicago, IL; Hartford, CT; or Charlotte, NC.
Equal Opportunity Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits
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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’s Personal Lines Data Analytics team seeks an energetic and passionate Senior Machine Learning Engineer to help build and scale our next-generation Machine Learning Operations (MLOps) & GenAI platforms. This role blends software engineering, DevOps, and machine learning expertise to deliver robust, scalable, and secure AI/ML solutions. You will be instrumental in enabling our data science teams to deploy models efficiently and responsibly in production environments. We are looking for talent who embraces our core values.
Responsibilities
Research, experiment with, and implement suitable frameworks, tools, and technologies to enable AI/ML decision-making at scale.
Identify and assess opportunities, such as the value of new data sources and analytical techniques, to ensure ongoing competitive advantage.
Review work with leadership and partners on an ongoing basis to calibrate deliverables against expectations.
Own the design, development, and maintenance of MLOps and GenAI platforms and services.
Mentor junior engineers and provide thought leadership.
Collaborate with Enterprise Data, Data Science, Business, Cloud Enablement Team, and Enterprise Architecture teams.
Deliver critical milestones for model deployment in Google Cloud Platform (GCP) and AWS.
Develop, adopt, and promote MLOps best practices within the Data Science community.
Implement infrastructure-as-code using Terraform or CloudFormation to automate deployments.
Contribute to the development of agentic AI capabilities and support experimentation with LLMs and GenAI frameworks.
Requirements
Must be authorized to work in the U.S. now and in the future.
Bachelor's degree in related field and 5+ years of experience.
Solid understanding of the ML lifecycle: model training, deployment, monitoring, and feedback loops.
Strong application development experience using Python.
3+ years of hands-on experience developing with one of the public clouds, including tools and techniques to auto-scale systems.
Experience with CI/CD and IAC tools (e.g., Terraform, Jenkins, GitHub Actions) and containerization (Docker, Kubernetes).
Good understanding of Generative AI technologies, frameworks, key LLMs, and architecture patterns.
Exposure to agentic AI architectures and prompt engineering.
Good understanding and experience building orchestration frameworks for real-time and batch model services.
Good understanding of various model development algorithms and ML use case types (e.g., regression, classification).
Strong fundamentals in data structures and algorithms.
Preferred Skills
WebService API development with AWS tooling.
Familiarity with big data technologies (Hadoop, Spark, Hive, etc.) and RDBMS.
Hands-on experience with GCP, especially Vertex AI, Cloud Run, BigQuery, and GKE.
Basic understanding of ML frameworks (TensorFlow, Scikit-Learn, etc.).
Experience with Agile frameworks and Scrum/Kanban project management.
Compensation The listed annualized base pay range is based on analysis of similar positions in the external market. Actual base pay can vary and may be above or below the listed range based on factors including performance, proficiency, and demonstrated competencies. The base pay is one component of The Hartford’s total compensation package. Other rewards may include bonuses, long-term incentives, and recognize-offers. The annualized base pay range for this role is:
$117,200 - $175,800
Location & Schedule This role has a hybrid schedule with an expectation of working in-office 3 days a week (Tuesday through Thursday) in one of the following locations: Columbus, OH; Chicago, IL; Hartford, CT; or Charlotte, NC.
Equal Opportunity Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits
#J-18808-Ljbffr