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Hear why you should volunteer with the Houston AWS Product Team

Build Together, Grow Together:
Tired of sending hundreds of applications with few responses? The secret isn't more certificates—it's real, production-grade experience.
Join us to build an enterprise-level machine learning application on AWS from scratch to production launch. This isn't a tutorial or toy project—we're creating a real product that will go live in 6 months with actual users, using Infrastructure as Code and CI/CD pipelines.

What You'll Gain (10x what you invest):

  • Production-ready ML experience you can showcase to employers
  • Hands-on work with AWS services (SageMaker, Lambda, EC2, and more)
  • A supportive community where you learn by doing and teach what you know
  • Real open-source GitHub contributions and artifacts for your portfolio
  • Professional network and mentorship from your team
  • The confidence that comes from shipping real software

The minimum commitment: Contribute 1 hour per week, plus stay connected on Discord, attend our 30-minute weekly standup, and commit your contributions to GitHub. You can work solo, on a team, or hybrid—whatever fits your style.

Roles Available (examples): Machine Learning Engineer • Software Developer • DevOps • Data Scientist • Architect • Web Developer • Data Analyst • Product Owner • Scrum Master • and more
Don't see your dream role? We'll invent it.

This is your chance to bridge the experience gap and build the future you want. Come ready to collaborate, learn, and ship something amazing together. Open source license, real impact, enterprise-grade experience on your resume.

Ready to build your future? Let's do this together!

About the presenter:
Lance Kind is a software architect, technical lead, and Agile consultant who has been in the industry for over twenty years and has worked for and with companies from startups to the Fortune 15. He is an expert coach who has worked with hundreds of teams around the world.

Machine Learning
Amazon Web Services
Cloud Computing
Product Development
DevOps

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Volunteer with Houston AWS Product Team to build a production ML app on AWS; for aspiring engineers and data scientists; outcome: real deployable project

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