Senior Platform Engineer - AI/ML on GCP (Hybrid)

FedEx; Memphis (TN); Hybrid; USD 100,000 - 144,000; Full time

Job summary

FedEx is seeking a Platform Engineer to lead development and integration of AI/ML frameworks across private, public, and hybrid clouds. You will design scalable pipelines, optimize inference latency on GCP, and expose models via performant APIs while ensuring governance and security.

The role emphasizes collaboration with data scientists and engineers to productionize prototypes into robust microservices, with on-site work several times per week at FedEx locations in multiple cities.

Qualifications

• Bachelor's degree in computer science, engineering, or information systems.
• 5–7 years of platform engineering or related field experience.
• Experience leading multi-function project teams.
• Strong communication skills to convey ML architectures and trade-offs.

Responsibilities

• Develop and implement ML models using Python across cloud platforms.
• Build scalable data pipelines with BigQuery, Dataflow, and GCS.
• Design and maintain automated ML pipelines with Vertex AI Pipelines and Kubeflow.
• Expose AI models via REST/gRPC APIs and integrate into enterprise apps.
• Enforce security, governance, and compliant practices for GCP workloads.
• Drive end-to-end ML lifecycle on Vertex AI, including training and deployment.

Skills

Python programming

ML/DL expertise

Generative AI

SQL & BigQuery

Communication

Agile/Scrum

Education

Bachelor's Degree

Tools

BigQuery

Cloud Dataflow

GKE

Vertex AI

Kubeflow/TFX

FastAPI

Docker

Terraform

Cloud Run

LangChain/LlamaIndex

Job description

FedEx is seeking a Platform Engineer to lead development and integration of AI/ML frameworks across private, public, and hybrid clouds. You will design scalable pipelines, optimize inference latency on GCP, and expose models via performant APIs while ensuring governance and security.

The role emphasizes collaboration with data scientists and engineers to productionize prototypes into robust microservices, with on-site work several times per week at FedEx locations in multiple cities.