Staff SWE AI-ML

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](https://www.thehartford.com/about-us) | [Our Culture](https://www.thehartford.com/about-us/corporate-culture) | [What It’s Like to Work Here](https://www.thehartford.com/careers/our-employees)