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About Masterschool

Masterschool is an applied education research laboratory aimed at unlocking human potential. We are a collective of educators, researchers, and engineers who develop cutting-edge software and models to enhance the lives of billions. Through MSIT – Master School Institute of Technology, a global network led by industry pioneers, we provide immersive online programs that furnish students with skills, mentorship, and industry connections essential for thriving in technology roles.

Role Overview

We seek an experienced Machine Learning and Artificial Intelligence engineer to develop curriculum content for our AI & ML Engineering program. This role entails creating comprehensive learning resources—such as asynchronous lessons, guides for live sessions, and project materials—that guide career changers from foundational data knowledge to designing and deploying production-level AI systems. Collaboration with the Academic Lead and learning designers is essential to ensure that the materials are rigorous, practical, and aligned with current industry expectations for junior ML and AI engineers.

Curriculum Topics You Will Develop

Application patterns for large language models (LLMs) and retrieval augmented generation (RAG), including embeddings, chunking, and vector search techniques
AI systems enhanced with tools and function calling capabilities
Orchestration in AI using frameworks like LangChain and LangGraph
MLOps and LLM Operations including MLflow, experiment tracking, model registries, and version control
Engineering APIs and services with FastAPI and containerization using Docker
Production-grade agent systems featuring multi-agent architectures with LangGraph and CrewAI
Techniques for monitoring, observability, and ensuring production reliability
Design and architectural strategies for AI systems focusing on scoping features, build versus buy decisions, cost, latency, quality trade-offs, and converting business needs into technical specifications
AI security, safety, and governance topics such as prompt injection defenses, red-teaming, output validation, compliance with the EU AI Act, and audit trail management

Candidate Profile

Preferably more than 3 years of practical experience as an ML or AI engineer or in a related role
Proficient in Python and experienced with LLM APIs like OpenAI or Anthropic; familiar with at least one orchestration framework such as LangChain or LangGraph
Knowledgeable in MLOps tools like MLflow or Weights & Biases
Demonstrated ability to build and deploy ML or LLM systems in live production environments
Skilled in converting complex technical subjects into clear, beginner-friendly, and well-structured educational content
Experience with educational content creation is highly valued
A systematic thinker capable of designing progressive content without overwhelming learners
Dependable with strong communication skills and capable of meeting deadlines

Additional Preferred Qualifications

Experience with multi-agent frameworks such as CrewAI or AutoGen
Databricks ML Engineer Associate certification or an equivalent credential
Background in AI safety, implementation of guardrails, or responsible AI practices

What We Provide

Fully remote, flexible engagement on a freelance contract basis
A collaborative environment with rapid feedback cycles

ML & AI Engineering Curriculum Developer