The Role
Design, build, and deploy ML and generative models as services across AWS and GCP. Lead model lifecycle, MLOps, CI/CD, IaC, data pipeline architecture, and mentor junior engineers while collaborating with data, cloud, and business partners.
Summary Generated by Built In
IND Staff Engineer - GCC094
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.
Responsibilities
- Research, experiment with, and implement suitable Generative and ML algorithms, tools and technologies.
- Participate in identifying and assessing opportunities i.e. value of new data sources and analytical techniques and technology, to ensure ongoing competitive advantage.
- Review work with leadership and partners on an ongoing basis to calibrate deliverables against expectations.
- Accountable for design, development and maintenance of Models as Service
- Work with junior engineers and peers to provide mentorship and thought leadership. Be comfortable presenting new concepts to technical audiences.
- Collaborate with partners Enterprise Data, Data Science, Business, Cloud Enablement Team, and Enterprise Architecture teams
- Delivery of critical milestones for model deployment in the AWS and GCP clouds.
- Adopt and promote MLOps best practices to the Data Science community.
Minimum Requirements
- Development experience using both the AWS and GCP suite of tools.
- Familiarity with SageMaker, Streamlit, web security, credentials and API management tools
- Experience developing repeatable architectural patterns; ability to identify redundancies and eliminate them with these patterns.
- Experience building and deploying webservices in a cloud environment.
- Experience building CICD pipeline using Jenkins or equivalent
- Experience with IAC (Infrastructure as Code) including Cloud Formation, Terraform, or similar
- Expert-level Github experience, including Github Actions
- Strong object oriented development experience using Python, Java, C#
- Familiarity with big data technologies (i.e. Hadoop, Spark, Hive, etc.) and RDBMS platforms such as Redshift, Snowflake or BigQuery
- Experience in end to end model development lifecycle, from ideation through post production monitoring.
- Experience with workflow automation platforms (Apache Airflow, Autosys, similar)
- Experience with Solution Design and Architecture of data pipelines
- Basic understanding of Data Science model development life cycle
Preferred Skills
- Fundamentally strong with Data Structures and algorithms.
- Experience working with Docker, Kubernetes and EC2 environment.
- Experience building ML and data pipeline and orchestration services
- Basic understanding of ML frameworks i.e. Tensorflow, Anacoda, Scikit Learn,
- Experience working in an Agile framework.
Qualifications
- ML engineering, data manipulation and application development
- Python development experience
- Working with IAC, developing CICD pipelines
- Experience in the insurance or broader financial services industry
- SQL development experience
- Familiarity with emerging data centric technologies such generative AI, Agentic workflows, and embedding LLM’s into automated processes
About Us | Our Culture | What It’s Like to Work Here
Skills Required
- Development experience using both the AWS and GCP suite of tools
- Experience building and deploying webservices in a cloud environment
- Familiarity with SageMaker, Streamlit, web security, credentials and API management tools
- Experience building CI/CD pipelines using Jenkins or equivalent
- Experience with Infrastructure as Code (CloudFormation, Terraform, or similar)
- Expert-level GitHub experience, including GitHub Actions
- Strong object oriented development experience using Python, Java, C#
- Familiarity with big data technologies (Hadoop, Spark, Hive) and RDBMS platforms (Redshift, Snowflake, BigQuery)
- Experience in end-to-end model development lifecycle, including post-production monitoring
- Experience with workflow automation platforms (Apache Airflow, AutoSys, similar)
- Experience with solution design and architecture of data pipelines
- Basic understanding of Data Science model development lifecycle
- ML engineering, data manipulation and application development experience
- SQL development experience
- Familiarity with generative AI, agentic workflows, and embedding LLMs into automated processes
- Fundamentally strong with data structures and algorithms
- Experience working with Docker, Kubernetes and EC2
- Experience building ML and data pipeline and orchestration services
- Basic understanding of ML frameworks (TensorFlow, Anaconda, Scikit-learn)
- Experience working in an Agile framework
- Experience in the insurance or broader financial services industry
The Hartford Financial Services Group, Inc. Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about The Hartford Financial Services Group, Inc. and has not been reviewed or approved by The Hartford Financial Services Group, Inc..
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Retirement Support — The retirement savings plan pairs matching with an additional company contribution and guidance, strengthening long‑term financial security. Consistent 401(k) generosity elevates perceived total compensation across roles.
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Leave & Time Off Breadth — Paid time off, holidays, and paid leaves are described as generous and accessible, supporting work‑life balance. The ability to take meaningful time away adds value beyond base pay.
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Healthcare Strength — Health, dental, and vision options are comprehensive, with supplemental coverages that help manage out‑of‑pocket costs. Mental health resources, EAP access, and wellness programs further reinforce overall benefits value.
The Hartford Financial Services Group, Inc. Insights
What's It Like to Work at The Hartford Financial Services Group, Inc.?
The Hartford Financial Services Group, Inc. Culture & Values
The Hartford Financial Services Group, Inc. Career Growth & Development
What's the Work-Life Balance Like at The Hartford Financial Services Group, Inc.?
The Hartford Financial Services Group, Inc. Leadership & Management
The Hartford Financial Services Group, Inc. Company Growth, Stability & Outlook
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The Company
What We Do
Human achievement is at the heart of what we do. We put our belief into action by not only ensuring individuals and businesses are well protected, but by going even further – making an impact in ways that go beyond an insurance policy
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