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 recent 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

📌 Staff Software Engineer/AI-ML (Hyderabad)
🏢 The Hartford
📍 Hyderabad