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
*******************************************************************************************************************************************