AI Engineer Bootcamp Instructor (ML, DL, MLOps & LLM Systems) - Onsite&Remote

About the Role

We are seeking an experienced AI Engineer Instructor to teach a 6- or 12-week, full-time immersive AI Engineer bootcamp focused on building end-to-end, production-ready AI systems. The program covers the full AI lifecycle—from data preparation and classical machine learning to deep learning, MLOps, and modern LLM-based systems (RAG and agents).

This role is open to both in-person and remote instructors.

For in-person delivery, instructors must be available to travel to Saudi Arabia for an initial 3-month engagement, with the possibility of extension to 9–12 months or longer.

What You Will Teach

You will guide learners through a capstone-driven curriculum that includes:

• Python programming and ML fundamentals (baseline alignment)
• Data understanding, cleaning, feature engineering, and EDA
• Classical machine learning training, evaluation, and explainability
• Deep learning fundamentals, architectures, and inference pipelines
• Model deployment patterns and MLOps foundations
• CI/CD, monitoring, drift detection, and retraining strategies
• Large Language Models (LLMs), RAG, and basic agent workflows
• LLMOps concepts including evaluation, cost, and latency control
• End-to-end AI system design, optimization, and demo delivery

Key Responsibilities

• Deliver live instruction (in-person or remote) for a full-time, 6-week bootcamp
• Lead hands-on labs, model walkthroughs, and daily build sprints
• Mentor students through weekly capstone milestones and checkpoints
• Review ML/DL/LLM code and provide clear, practical feedback
• Teach students how to reason about tradeoffs (performance vs explainability, cost vs latency, ML vs DL vs LLM)
• Guide learners in deploying, monitoring, and operating AI systems
• Support content refinement and curriculum development
• Collaborate with program staff on assessments, learner progress, and outcomes

Required Qualifications

• Strong hands-on experience across the AI stack, including:
• Python for data and ML
• Classical ML (regression, classification, clustering)
• Deep learning (training and inference)
• Model deployment and MLOps concepts
• Practical experience with LLMs, including RAG and/or agent workflows
• Excellent communication skills with the ability to explain complex concepts clearly
• Bootcamp teaching experience or equivalent (intensive training, corporate upskilling, workshops, or mentoring)
• Demonstrated content development experience (curriculum, labs, assignments, or technical learning materials)
• Ability to mentor students through end-to-end capstone projects
• GitHub profile required (please include a link showcasing relevant work)

Preferred / Nice-to-Have

• Experience teaching production ML or MLOps
• Familiarity with LLM evaluation and LLMOps practices
• Experience mentoring real-world or client-based AI projects
• Prior experience teaching in accelerated or immersive programs
• Experience working with government, enterprise, or international cohorts

Location & Commitment

• Remote or In-Person
• In-person role requires travel to Saudi Arabia for 3 months
• Extension possible to 9–12 months or longer based on program needs and performance
• Full-time teaching commitment during bootcamp delivery

Why Join Us

• Teach a comprehensive, production-oriented AI engineering curriculum
• Work with highly motivated learners in an immersive environment
• Be part of long-term programs with extension and growth opportunities
• Shape how future AI engineers learn to build, deploy, and operate real AI systems
• Contribute to outcome-driven, real-world AI education initiatives

How to Apply

Please submit:

• Your resume or LinkedIn profile
• A link to your GitHub profile
• A brief note describing your teaching experience and availability (remote or in-person)

Job Types: Part-time, Contract

Contract length: 3 months

Expected hours: 35 per week

Application question(s):

• Do you have AI bootcamp teaching experience or equivalent in the past?
• Are you willing to travel to Saudi Arabia to teach the bootcamp for 3-6 months?
• Are you able to work according to the Saudi Arabia time zone?

Work Location: Remote

Application deadline: 2026-02-28

Expected start date: 2026-04-01