AI Engineer II: Scale Production ML & MLOps

FedEx Corporation; Coraopolis (Allegheny County); On-site; USD 99,000 - 134,000; Full time

Job summary

The Federal Express Corporation is seeking an AI Engineer to design, develop, deploy, and maintain AI and ML solutions that drive intelligent automation, predictive insight, and enterprise analytics across the enterprise. You will write production-quality code, build scalable AI systems including AI Agents and data pipelines, and integrate models into business applications.

You will collaborate with Data Scientists, Data Engineers, ML Ops Engineers, and Platform teams to move models from

Qualifications

• Must have independently built, trained, and iterated on multiple ML models.
• 2+ years of hands-on experience with a deep learning framework.
• Solid software engineering practices with CI/CD, tests, and Git workflows.

Responsibilities

• Model Development & Implementation - write clean, efficient code to develop AI models and data processing pipelines.
• ML Pipelines & Operations - design and maintain scalable ML pipelines for training, validation, inference and deployment.
• Collaboration & Integration - work with Data Scientists to productionize models and integrate AI capabilities into enterprise workflows.
• Governance & Strategy - ensure deployed AI systems comply with governance, fairness, and security standards.

Skills

Python

Java

C++

PyTorch

TensorFlow

LangChain

LangGraph

SQL

NoSQL

Docker

Kubernetes

RESTful APIs

MLOps observability

Git CI/CD

Cloud platforms

Data wrangling

Education

Bachelor's degree in Computer Science, Data Science, Engineering, or related field

Master's degree preferred

Tools

Docker

Kubernetes

AWS

Azure

GCP

Spark

Vertex AI / SageMaker / Azure ML

Job description

The Federal Express Corporation is seeking an AI Engineer to design, develop, deploy, and maintain AI and ML solutions that drive intelligent automation, predictive insight, and enterprise analytics across the enterprise. You will write production-quality code, build scalable AI systems including AI Agents and data pipelines, and integrate models into business applications.

You will collaborate with Data Scientists, Data Engineers, ML Ops Engineers, and Platform teams to move models from