Design and manage cloud infrastructure using AWS services such as EKS, EC2, SageMaker, Lambda, and S3.
Automate cloud resource provisioning and configuration using Terraform and Infrastructure as Code (IaC) best practices.
Implement CI/CD pipelines for ML model deployment using GitHub Actions, Jenkins, or AWS CodePipeline.
Monitor and optimize ML workflows in Databricks, ensuring performance, scalability, and reliability.
Collaborate with data scientists and product teams to operationalize ML models and integrate them into production systems.
Develop robust APIs for model serving using FastAPI, supporting synchronous, asynchronous, and streaming inference.
Build and maintain front-end interfaces using React to visualize model outputs, monitor pipeline health, and support user interaction with ML services.
Apply software engineering principles to develop scalable, maintainable, and testable code across the ML lifecycle.
Support deployment and orchestration of Generative AI models (e.g., GPT, Claude) in cloud environments.
Required Experience
5-8 years of relevant experience
Strong experience with AWS cloud services and Terraform.
Proficiency in container orchestration (EKS/Kubernetes).
Solid understanding of CI/CD practices and DevOps tooling.
Front-end development experience with React and JavaScript/TypeScript.
Backend development experience with Python and FastAPI.
Familiarity with ML model lifecycle and deployment best practices.
Experience integrating ML models into full-stack applications.
Required Education
Bachelors or Masters (Preferred) in statistics, computer science or equivalent field
About Evernorth Health Services
Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.
