AI Platform Engineer & Systems Architect

FedEx; Plano (TX); Hybrid; USD 101,000 - 144,000; Full time

Job summary

FedEx is hiring a Platform Engineer to develop and manage private, public, and hybrid cloud frameworks for BI/AI/ML applications. The role emphasizes scalable pipelines, MLOps, and production-grade microservices, in a hybrid on-site/Plano-based setting with occasional on-site requirements at FedEx locations.

The ideal candidate will have 5–7 years of Platform Engineering experience, strong Python skills, and deep knowledge of GCP, Vertex AI, and ML tooling.

Qualifications

• Bachelor's degree or equivalent in CS/engineering/IS.
• 5–7 years of Platform Engineering experience.
• Experience with GCP and Vertex AI.
• Strong Python and ML framework knowledge.

Responsibilities

• Develop and implement ML models in Python for BI/AI/ML use cases.
• Build scalable data pipelines using BigQuery, Dataflow and GCS.
• Design and maintain ML pipelines with Kubeflow/TFX and Vertex AI.
• Expose models via REST/GRPC APIs and ensure security/compliance.

Skills

Python

ML/DL/NLP

Cloud platforms

MLOps

REST/GRPC

Data engineering

Education

Bachelor's degree in computer science/engineering/IS

Tools

FastAPI

Kubeflow / TFX

Vertex AI

GKE

BigQuery

Cloud Dataflow

Job description

FedEx is hiring a Platform Engineer to develop and manage private, public, and hybrid cloud frameworks for BI/AI/ML applications. The role emphasizes scalable pipelines, MLOps, and production-grade microservices, in a hybrid on-site/Plano-based setting with occasional on-site requirements at FedEx locations.

The ideal candidate will have 5–7 years of Platform Engineering experience, strong Python skills, and deep knowledge of GCP, Vertex AI, and ML tooling.