Platform Engineer: AI/ML & Data Analytics on GCP

Federal Express Corporation; Plano (TX); Hybrid; USD 107,000 - 144,000; Full time

Job summary

Federal Express Corporation seeks a Platform Engineer to develop, integrate, and manage AI/ML frameworks across private, public, and hybrid cloud environments in Plano, TX. You will optimize data acquisition, processing, and analytics for BI/AI/ML workloads, collaborating with engineers to productionize prototypes into scalable microservices.

You will design end-to-end ML pipelines on GCP, deploy via Vertex AI Endpoints and Cloud Run, and ensure governance, security, and performance across

Qualifications

• Bachelor's degree or equivalent in CS/Engineering/IS.
• 5+ years in Platform/ML engineering in cloud environments.
• Strong Python, ML and data engineering skills.

Responsibilities

• Develop, integrate, and manage ML/AI frameworks across private, public, and hybrid clouds.
• Build scalable data pipelines using Beam, Dataflow, and GCS.
• Expose AI models via REST/gRPC APIs; ensure observability and reliability.
• Define SLOs, monitoring, and security governance for AI services.
• Collaborate with Data Scientists and Architects to productionize prototypes.

Skills

Python

BigQuery

Vertex AI

Kubeflow

TFX

GKE

Docker

Pandas

SQL

API development

Education

Bachelor's Degree in CS/Engineering/Info Systems

Tools

GKE (Google Kubernetes Engine)

Cloud Run

Terraform

Apache Beam

PySpark

LangChain

Job description

Federal Express Corporation seeks a Platform Engineer to develop, integrate, and manage AI/ML frameworks across private, public, and hybrid cloud environments in Plano, TX. You will optimize data acquisition, processing, and analytics for BI/AI/ML workloads, collaborating with engineers to productionize prototypes into scalable microservices.

You will design end-to-end ML pipelines on GCP, deploy via Vertex AI Endpoints and Cloud Run, and ensure governance, security, and performance across