Applying to AI Engineer Jobs
Published by O'Reilly Media, Inc.
Identify Gaps, Target the Skills, and Upgrade Your Resume
- Learn the skill sets required for each type of AI role and evaluate your strengths and weaknesses
- Understand how to structure your resume and leverage transferrable past experience in tech
- Hear first-hand experience from the field and common mistakes candidates make
Join expert Susan Shu Chang to give yourself a competitive advantage by learning how to ace the highly selective interview recruitment process and break into the rapidly growing AI field.
What you’ll learn and how you can apply it
- Evaluate your current skills to close any gaps that may prevent you from succeeding in the job application process
- Beef up your resume structure targeted at AI roles
- Frame your past projects and present your portfolio in the best light
This live event is for you because...
- You’re a recent graduate who is eager to become an AI practitioner in industry.
- You’re a software engineer or (product) data scientist who is transitioning into an AI or ML role.
- You need an action plan to be a competitive AI job candidate.
Prerequisites
AI application usage (basic) Python programming knowledge (basic to intermediate) Machine learning theory and/or statistics (basic to intermediate)
Recommended preparation:
- Attend AI Superstream: Open Source Generative AI Models and Frameworks (video)
- Read AI Engineering (book)
- Read AI Engineering Interviews (book)
- Read An Illustrated Guide to AI Agents (book)
Schedule
The time frames are only estimates and may vary according to how the class is progressing.
Introduction to AI roles and skill sets (120 minutes)
- Group discussion: What stage are you at in your AI job search?
- Overview of the AI and machine learning field
- Various roles available in the field
- In-demand skills in the AI age (Agents, evaluations, etc.)
- Identifying the gaps between role and skill set
- Resume structure for AI roles
- Networking overview
- Best side projects and learning suggestions
- Hands-on exercise: Critique your resume and AI portfolio
- Q&A
Your Instructor
Susan Shu Chang
Susan Shu Chang is a principal data scientist at Elastic (of Elasticsearch), with previous ML experience in fintech, telecommunications, and social platforms. Susan is an international speaker, with talks at six PyCons worldwide and keynotes at Data Day Texas, PyCon DE & PyData Berlin, and O’Reilly’s AI Superstream. She writes about machine learning career growth in her newsletter, susanshu.substack.com. In her free time she leads a team of game developers under Quill Game Studios, with multiple games released on consoles and Steam.