What You'll Be Doing: Implements and manages CI/CD pipelines (e.g., Azure DevOps, Jenkins, etc.) for ML workflows, including automated model training, testing, and deployment containerization with Docker, serverless Functions and/or Kubernetes to enhance scalability. Develops ML workflows on Azure (e.g., Databricks). Designs & Codes ML/AI data versioning, feature stores, and model lifecycle management to ensure streamlined processes and reliability. Manage versions, monitor performance, and enable rollbacks through CI/CD pipelines for seamless deployment. Prototypes & develops workflows that leverage existing AI, ML, & GenAI frameworks & models to solve business problems. Design and develop machine learning models, AI & GenAI Agents, and ML algorithms to solve business problems. Experiment with new features and modeling techniques to develop more accurate or useful AI / ML Models. What We Are Looking For: Typically requires 5 - 7 years of related experience with a 4 year degree; or 3 years and an advanced degree; or equivalent work experience. 4 year degree and/or advanced degree required. Requires 2 years of experience with designing and developing in Azure, Databricks, Kubernetes, Azure DevOps, GenAI (LangChain, LangGraph, Semantic Kernel) Solves complex problems; takes a new perspective using existing solutions Works independently; receives minimal guidance Acts as a resource for colleagues with less experience Represents the level at which career may stabilize for many years or even until retirement Contributes to process improvements Typically resolves problems using existing solutions Provides informal guidance to junior staff Works with minimal guidance