AI Engineer (EA58FT RM 3749)

Position: AI Engineer (EA58FT RM 3749)

What you’ll be doing / Principal Accountabilities:
● 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 cloud platforms like AWS, GCP, or Azure (e.g., Databricks).
● Designs & Codes ML/AI data versioning, feature stores, and model lifecycle management to ensure streamlined processes and reliability. Manages versions, monitor performance, and enable rollbacks through CI/CD pipelines for seamless deployment.
● Prototypes & develops workflows that leverage existing AI, ML, & GenAI framworks & 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.

Job Complexity:
● Requires in-depth knowledge and experience
● 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

What we are looking for / Education / Experience:
Typically requires 5 – 8 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 in-depth knowledge and experience
● 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
● Uses best practices and knowledge of internal or external business issues to improve roducts/services or processes
● Typically resolves complex problems or problems where precedent may not exist
● Often leads the work of project teams; may formally train junior staff
● Works independently

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