Junior ML Engineer: Build & Deploy Production AI

Federal Express Corporation; Memphis (TN); Hybrid; USD 90,000 - 119,000; Full time

Job summary

FedEx Dataworks in Memphis, TN is seeking an AI Engineer to design, develop, deploy, and maintain AI/ML solutions across enterprise applications. You will be a hands-on builder applying software engineering principles to production-grade code, building AI agents, data pipelines, and integrating models into business systems.

Collaborate with data scientists, ML Ops, and platform teams to move research into production, define SLOs, implement observability, and ensure governance and security.

Qualifications

• Bachelor's degree in computer science, information systems, or related field.
• 5+ years of IT/AI-related experience.
• Experience with ML lifecycle and MLOps best practices.
• Strong communication and stakeholder collaboration.

Responsibilities

• Develop and deploy AI models and data pipelines.
• Design scalable ML pipelines for training, validation, deployment.
• Ensure observability, SLOs, and incident response for AI services.
• Collaborate with Data Scientists and Platform teams.

Skills

Python/Java/C++

ML/DL concepts

SQL/NoSQL

MLOps/CI-CD

REST APIs

NLP/LangChain

Data Pipelines

Frontend JS

Education

Bachelor's degree in Computer Science or related field

Master's degree (preferred)

Tools

Docker

Kubernetes

TensorFlow

PyTorch

Spark

LangChain

LangGraph

Job description

FedEx Dataworks in Memphis, TN is seeking an AI Engineer to design, develop, deploy, and maintain AI/ML solutions across enterprise applications. You will be a hands-on builder applying software engineering principles to production-grade code, building AI agents, data pipelines, and integrating models into business systems.

Collaborate with data scientists, ML Ops, and platform teams to move research into production, define SLOs, implement observability, and ensure governance and security.