Platform Engineering Advisor — AI/ML on GCP Scale

FedEx Corporation

Tennessee

Hybrid

USD 101,000 - 144,000

Full time

14 days+

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Job summary

FedEx is seeking a Platform Engineer to develop, integrate, and manage AI and analytics frameworks across private, public, and hybrid clouds, ensuring scalable and reliable performance for BI/AI/ML applications.

You will collaborate with data scientists and engineers to productionize prototypes, deploy via Vertex AI and GKE, and implement MLOps with monitoring and SLIs, while balancing security and reliability.

Qualifications

  • Bachelor's degree in CS, engineering, or related field.
  • 5–7 years in Platform Engineering or related field.
  • Strong communication and leadership skills.

Responsibilities

  • Write clean, efficient Python code for ML models.
  • Build scalable data workflows with BigQuery, Dataflow, and GCS.
  • Optimize model latency on GCP GPUs/TPUs.
  • Design and maintain automated ML pipelines (Vertex AI Pipelines).
  • Package and deploy models via Vertex AI Endpoints, Cloud Run, or GKE.
  • Implement MLOps observability with Vertex AI Monitoring and Cloud Monitoring.
  • Define SLOs and automated alerting for AI services.
  • Collaborate with Data Scientists to productionize prototypes.
  • Expose AI models via REST/gRPC using FastAPI.
  • Ensure explainability with Vertex Explainable AI.

Skills

Python
BigQuery
Cloud Dataflow
Vertex AI
FastAPI
ML Frameworks
Generative AI

Education

Bachelor's degree in CS/Engineering

Tools

BigQuery
Cloud Dataflow
Google Cloud Storage
Vertex AI Pipelines
Kubeflow Pipelines
TFX
Vertex AI Endpoints
GKE
Cloud Run
Vertex Explainable AI

Job description

FedEx is seeking a Platform Engineer to develop, integrate, and manage AI and analytics frameworks across private, public, and hybrid clouds, ensuring scalable and reliable performance for BI/AI/ML applications.

You will collaborate with data scientists and engineers to productionize prototypes, deploy via Vertex AI and GKE, and implement MLOps with monitoring and SLIs, while balancing security and reliability.

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