Staff Software Engineer/AI-ML

IND Staff Engineer - GCC094Were 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 ServiceWork 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 teamsDelivery 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 toolsExperience 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 equivalentExperience with IAC (Infrastructure as Code) including Cloud Formation, Terraform, or similarExpert-level Github experience, including Github ActionsStrong 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 BigQueryExperience 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 pipelinesBasic understanding of Data Science model development life cyclePreferred Skills Fundamentally strong with Data Structures and algorithms.Experience working with Docker, Kubernetes and EC2 environment.Experience building ML and data pipeline and orchestration servicesBasic understanding of ML frameworks i.e. Tensorflow, Anacoda, Scikit Learn,Experience working in an Agile framework.Qualifications ML engineering, data manipulation and application developmentPython development experienceWorking with IAC, developing CICD pipelinesExperience in the insurance or broader financial services industrySQL development experienceFamiliarity with emerging data centric technologies such generative AI, Agentic workflows, and embedding LLMs into automated processes .