Senior Platform Engineer - AI/ML on GCP & MLOps

Federal Express Corporation; Memphis (TN); Hybrid; USD 101,000 - 144,000; Full time

Job summary

Federal Express Corporation is seeking a Platform Engineer to develop and manage scalable AI-enabled data platforms across private, public, and hybrid clouds. The role emphasizes productionizing ML pipelines, model inference optimization, and collaboration with Data Scientists and Architects.

The position requires 5–7 years in platform engineering, strong Python and ML/DL expertise, and hands-on experience with Vertex AI, BigQuery, and containerized deployments.

Qualifications

• Minimum Bachelor's degree in computer science, engineering, or information systems.
• 5–7 years of platform engineering or related experience, with leadership in teams.
• Strong Python, ML/AI, and cloud infrastructure skills; ability to productionize models.

Responsibilities

• Develop and manage scalable ML/AI frameworks for hybrid cloud platforms.
• Build and optimize data pipelines and model inference on GCP (GPUs/TPUs).
• Collaborate with Data Scientists and Architects to deploy production-grade services.
• Define SLOs, observability, and governance for AI services.

Skills

Python proficient

ML/DL frameworks

Generative AI

GCP / Vertex AI

BigQuery

Data pipelines

REST/gRPC APIs

MLOps

SQL

Containerization (Docker)

Education

Bachelor's degree in CS/Engineering

Tools

Vertex AI

GKE

Cloud Run

Terraform

Cloud Dataflow

Job description

Federal Express Corporation is seeking a Platform Engineer to develop and manage scalable AI-enabled data platforms across private, public, and hybrid clouds. The role emphasizes productionizing ML pipelines, model inference optimization, and collaboration with Data Scientists and Architects.

The position requires 5–7 years in platform engineering, strong Python and ML/DL expertise, and hands-on experience with Vertex AI, BigQuery, and containerized deployments.