Lead Instructor — AI Platform Engineering (OpenShift AI / LLM / PyTorch)

Associated program : AS300 — AI Platform Engineer (399h)

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Key Responsibilities

Deliver advanced modules in the AS300 curriculum covering AI computing platforms and model lifecycle management.
Guide students in deploying GPU-accelerated Kubernetes clusters (NVIDIA GPU Operator, OpenShift AI).
Teach high-throughput LLM serving (vLLM, KServe) and open-source model alignment (InstructLab, LoRA/QLoRA).
Mentor the enterprise AI capstone project: implementing a secure, scalable RAG architecture.
Sit on defense juries and advise on modern AI stack evolutions.

Qualifications & Requirements

Solid understanding of enterprise AI infrastructure, MLOps, or GPU-enabled container orchestration.
Hands-on familiarity with Python, PyTorch, LLM inference engines (vLLM, TGI), and Vector Search.
Knowledge of Red Hat OpenShift AI (RHOAI), Kubeflow, or distributed Kubernetes compute.
Outstanding pedagogy, clarity of thought, and enthusiasm for the open-source generative AI ecosystem.

What We Offer

Access to state-of-the-art GPU infrastructure and enterprise AI platforms.
Official Red Hat Learning Subscription (RHLS) and certification sponsorship.
Flexible scheduling (modular freelance assignments or full-time position).

About the Role

Artificial intelligence platform engineering is the fastest-growing discipline in modern cloud infrastructure. Aperta Scientia’s AS300 — AI Platform Engineer (399h) is an elite program dedicated to deploying, serving, and scaling machine learning workloads on enterprise Kubernetes platforms (Red Hat OpenShift AI).

As an AI Lead Instructor, you will teach engineers how to bridge the gap between data science and mission-critical production infrastructure.

How to Apply

Send your application to [email protected] (Subject: Application AI Instructor AS300). We look forward to connecting with you.