Platform Engineering Advisor (AI/ML)

Location: Hybrid position in Plano, TX (first preference), Memphis, TN, or Pittsburgh, PA, United States. Candidates within 50 miles of a FedEx campus must work on-site several times per week.

Salary: $106,763–$144,131.16 annually in Plano, TX and Pittsburgh, PA; $101,425–$136,924.56 annually in Memphis, TN.

Company

hirify.global Corporation operates a large-scale transportation and logistics business supported by enterprise data and analytics platforms.

What you will do

• Develop and manage technical frameworks for private, public, and hybrid cloud platforms supporting analytical applications.
• Build machine learning, deep learning, and generative AI models and scalable data workflows using Python and GCP services.
• Design and maintain automated MLOps pipelines for data extraction, training, evaluation, deployment, and monitoring.
• Deploy production AI services through Vertex AI, Cloud Run, and Google Kubernetes Engine, exposing models through REST and gRPC APIs.
• Collaborate with data scientists, research engineers, architects, and business stakeholders to productionize AI solutions.
• Define SLOs, optimize inference performance, and implement security, compliance, explainability, and responsible AI controls.

Requirements

• Bachelor’s degree or equivalent in computer science, engineering, information systems, or a related field.
• Five to seven years of experience in platform engineering or a related field, including leadership or senior membership in multifunctional project teams.
• Advanced Python skills, including asynchronous programming, API development, packaging, testing, and object-oriented programming.
• Strong experience with machine learning, deep learning, generative AI, LLM applications, RAG pipelines, and modern ML frameworks.
• Hands-on experience with GCP and Vertex AI, including model training, deployment, pipelines, monitoring, BigQuery, Dataflow, and cloud security.
• Experience with MLOps engineering, CI/CD, Docker, Kubernetes or Cloud Run, Terraform, automated testing, and Agile/Scrum practices.

Nice to have

• Experience with Streamlit, Gradio, React, or Next.js for AI solution demonstrations and prototypes.

Culture & Benefits

• Regular collaboration with data scientists, research engineers, architects, engineering teams, and business stakeholders.
• Work on enterprise-scale data, analytics, AI, and ML platforms.
• Comprehensive employee benefits are available.
• Reasonable accommodations are available throughout the application process.