Senior AI Engineer: Production ML & MLOps

FedEx Group; Tennessee; On-site; USD 117,000 - 166,000; Full time

Benefits offered by this job

E-Verify program participant

Equal Opportunity Employer

Job summary

Federal Express Corporation in the United States seeks an AI Engineer to design, develop, deploy, and maintain production AI/ML solutions across the enterprise. You will own end-to-end AI projects, including data pipelines, model productionization, and integration with business apps.

You will collaborate with data scientists and ML/Ops teams, implement SLOs, and ensure governance and security while advancing AI capabilities across platforms.

Qualifications

• BS in Computer Science, Data Science, Engineering or related field; MS preferred.
• 3–5+ years designing and shipping ML models to production.
• Experience building production AI systems and data pipelines.

Responsibilities

• Develop and deploy ML/AI models for enterprise use cases.
• Build scalable data pipelines and preprocessing workflows.
• Collaborate with data scientists and ML/Ops to productionize models.
• Define SLOs, monitor drift, latency, and reliability of AI services.
• Integrate AI capabilities into enterprise applications via RESTful APIs.

Skills

Python

Java

C++

API development

ML concepts

PyTorch / TensorFlow

LangChain / LangGraph

SQL / NoSQL

MLOps observability

Docker / Kubernetes

Education

Bachelor's degree in CS/Engineering/Data Science

Master’s preferred

Tools

Docker

Kubernetes

Spark

RESTful APIs

Job description

Federal Express Corporation in the United States seeks an AI Engineer to design, develop, deploy, and maintain production AI/ML solutions across the enterprise. You will own end-to-end AI projects, including data pipelines, model productionization, and integration with business apps.

You will collaborate with data scientists and ML/Ops teams, implement SLOs, and ensure governance and security while advancing AI capabilities across platforms.