Try for free
AI Dev Day - Building AI workloads from Experiment to Production
Event PAST

AI Dev Day - Building AI workloads from Experiment to Production

21 May Online

Join this event

🎟️ Register / View Event Details

About this event

Register on AICamp event website is REQUIRED for admission.
RSVP on meetup is turned off.

Scale AI with confidence— Learn directly from industry experts and power builders at this free technical event featuring real-world talks and hands-on workshops designed to move your AI workloads from experiment to production.

Agenda:

  • 9:00AM ~ 9:30AM: Registration + Networking
  • 9:30AM ~ 12:00PM: Keynotes, Tech Talks, Q&A
  • 12:00PM ~ 1:00PM: Expo Hall + Lunch
  • 1:00PM ~ 4:00PM: Hands-on Track 1 — Fine tune VLA models for physical AI
  • 1:00PM ~ 4:00PM: Hands-on Track 2 — Run Distributed training with Ray and PyTorch
  • 4:00PM ~ 5:30PM: Happy Hour + Networking *

What to expect:

  • Community-Led Talks: Learn real-world lessons, proven architectures, and scaling patterns.
  • Direct Expert Access: Engage directly with industry experts and builders
  • Hands-on Workshops: Accelerate your path to production with an instructor-led workshop.
  • Peer Networking: Connect with experienced engineers and AI teams and learn from shared experiences.

Agenda (Morning)

  • 9:00AM - 9:30AMRegistration + Networking
  • 9:30AM - 10:15AMOpening Keynote
  • 10:15AM - 12:30PMRay User Talks
  • 12:30PM - 1:30PMExpo hall: Lunch and Networking

VLA Track — Fine tune VLA models for physical AI

  • 12:00 - 12:30 PMRegistration + Networking
  • 12:30 - 12:45 PMTraining kickoff and environment setup
  • 12:45 - 1:30 PMModule 1: Ray, the Foundation for Distributed Physical AI
  • 1:30 - 2:30 PMModule 2: Large scale VLA fine-tuning
  • 2:30 - 2:45 PMBreak
  • 2:45 - 3:45 PMModule 3: Robotics simulation
  • 3:45 - 4:00 PMQ&A and closing remarks
  • 4:00 - 5:30 PMHappy Hour + Networking

Ray Track — Run Distributed training with Ray and PyTorch

  • 12:45 - 1:30 PMModule 1: Scaling Python for AI Workloads with Ray
  • 1:30 - 2:30 PMModule 2: Building scalable multimodal data pipelines
  • 2:30 - 2:45 PMBreak
  • 2:45 - 3:45 PMModule 3: Distributed Training at scale
  • 3:45 - 4:00 PMQ&A and closing remarks

Venue:
Convene One Liberty Plaza
1 Liberty St, New York, NY 10006

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 DevFound.ai. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

Still have questions?

Contact Support