Hybrid ML & Fullstack Engineer for Edge Deployment

Praxis Tech; Las Vegas (NV); Hybrid; Full time

Job description

Forward Deployed Engineer (Machine Learning) and Forward Deployed Engineer (Fullstack)

These are hybrid roles that involve both deep technical work from a home office as well as hands‑on deployment and optimization at customer sites throughout Las Vegas.

About EagleSight.ai

EagleSight.ai is building the next generation of computer vision for large‑scale venues.

Estimated Benefits

• Travel opportunities

Benefits estimated based on industry standards.

Roles

• Forward Deployed Engineer (Machine Learning)
  • Bridge the gap between research and production.
  • Focus on TensorRT, ONNX, and optimizing low‑latency inference on the edge.
• Forward Deployed Engineer (Fullstack)
  • Build the platform that powers the physical world.
  • Focus on Python, React, Linux, and orchestrating air‑gapped deployments.

Field‑First Hybrid – Work from your home office when you are building features and training models, while also traveling to local customer sites (hotels, casinos) to deploy hardware, optimize edge performance, and see your code in action.

Local: Must be based in Las Vegas, NV.

We are hiring. If you are an engineer who wants to get closer to the hardware and see the immediate impact of your work, we’d love to meet you.

Apply here: https://lnkd.in/gFSbxE4g