Breaking Into AI & ML: Understand the Roles, Master the Skills, and Land the Job
🎯 What You’ll Learn
Ever wondered what “AI Engineer,” “Applied Scientist,” or “ML Engineer” really means — and how people actually land those roles?
In this live masterclass, I’ll pull back the curtain on how modern AI and ML teams really work — what each role does, how they collaborate, and what hiring managers are truly looking for.
By the end, you’ll have a clear roadmap to figure out which role fits you best and how to get there with focus and confidence.
📘 Key Topics
1. AI & ML Roles, Decoded
We’ll break down the most in-demand roles — what they do, how they differ, and how to position yourself for each one.
AI Engineer → Builds applications powered by LLMs and GenAI (prompt engineering, RAG, evaluation).
Machine Learning Engineer (MLE) → Deploys and scales models, builds pipelines, runs A/B tests.
Data Scientist (Product/Analytics) → Designs experiments, analyzes data, drives product decisions.
Research Scientist → Develops new models, publishes papers, pushes the frontier of ML.
ML Infrastructure Engineer → Builds the tools and platforms that power all of the above.
You’ll see where these roles overlap, where they diverge, and how to navigate between them as your career evolves.
2. Skills and Interview Expectations
Learn exactly what each role values — and how interviews differ across the spectrum.
The Four Pillars of ML Interview Success: Coding • ML Theory • System Design • Business Impact
SWE/Infra → Strong on LeetCode & large-scale system design.
MLE → End-to-end ML workflow, modeling depth, scalability.
Applied Scientist → Modeling rigor, experiments, and data intuition.
Research Scientist → Theory, publications, and innovation.
AI Engineer → GenAI systems, prompt design, and evaluation metrics.
🧠 Why Attend
Get insider insights from someone who’s built and hired for ML and AI teams at top tech companies.
Find your career fit — whether you’re coming from SWE, data science, or academia.
Prep smarter, not harder — know exactly where to focus your time and effort for interviews that matter.
💬 Who It’s For
If you’re a software engineer, data scientist, or curious tech professional exploring how to step into ML or AI — or simply want to understand this fast-changing career landscape — this class is for you.
👩🏻💻 About the Instructor
💻 By day, I lead a team of researchers and engineers designing Generative AI systems and ad models that power the internet for millions (sometimes billions!) of users.
🌙 By night (and weekends), I’m a career coach and mentor, helping people make sense of the ever-changing tech world — from job transitions to interview prep to personal growth.
✨ My personal mantra? Help people feel better, think clearer, and go further.