AI Engineer II - Scalable Production AI & MLOps

FedEx Corporation; Tennessee; On-site; USD 94,000 - 127,000; Full time

Job summary

Federal Express Corporation is seeking an AI Engineer to design, develop, and deploy AI/ML solutions across the enterprise. The role emphasizes production-grade coding, scalable data pipelines, and governance for reliable AI services.

The candidate will collaborate with Data Scientists, ML Ops, and Platform teams to move models from prototype to production, implementing observability, SLOs, and robust incident response while ensuring security and governance compliance.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, or related field is required; Master's is highly preferred.

Responsibilities

• Model Development & Implementation - write clean, efficient, well-documented code to develop ML/AI models and data pipelines.
• ML Pipelines & Operations - design, develop, maintain scalable ML pipelines and monitor deployed models for drift and reliability.
• Collaboration & Integration - work with Data Scientists to productionize models and integrate AI capabilities into enterprise workflows.

Skills

Python

Java

C++

API development

MLOps

Education

Bachelor's degree in CS/DS/Engineering

Tools

Docker

Kubernetes

Git

SQL

NoSQL

Job description

Federal Express Corporation is seeking an AI Engineer to design, develop, and deploy AI/ML solutions across the enterprise. The role emphasizes production-grade coding, scalable data pipelines, and governance for reliable AI services.

The candidate will collaborate with Data Scientists, ML Ops, and Platform teams to move models from prototype to production, implementing observability, SLOs, and robust incident response while ensuring security and governance compliance.