Edge AI Developer | Freelance | WFH

2 - 4 years

0 Lacs

Posted:1 day ago| Platform: Foundit logo

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Work Mode

Remote

Job Type

Full Time

Job Description

About BeGig

BeGig is the leading tech freelancing marketplace. We empower innovative, early-stage, non-tech founders to bring their visions to life by connecting them with top-tier freelance talent. By joining BeGig, youre not just taking on one roleyoure signing up for a platform that will continuously match you with high-impact opportunities tailored to your expertise.

Your Opportunit

Edge AI Develope

.
This fully remote role is available on an hourly or project-based basi

s.Role Overvi

ewAs an Edge AI Developer, you wil

  • l:Build AI for the Ed

    ge: Develop and deploy optimized AI models that run directly on embedded or edge device
  • s.Model Optimizati

    on: Use techniques like quantization, pruning, and compression to reduce model size and inference latenc
  • y.Hardware Integrati

    on: Work with edge hardware platforms such as NVIDIA Jetson, Raspberry Pi, Coral TPU, and ARM-based board
  • s.Deploy Offline Mode

    ls: Package and deploy models for inference without requiring constant cloud connectivit
  • y.Performance Tuni

    ng: Ensure models are fast, accurate, and resource-efficient under real-time constraint
  • s.Toolchain Usa

    ge: Use platforms like TensorFlow Lite, ONNX, OpenVINO, or PyTorch Mobile for deployment and optimizatio

n.Technical Requirements & Ski

  • llsExperie

    nce: Minimum 2+ years in machine learning, embedded systems, or AI application developme
  • nt.Model Optimizat

    ion: Experience with tools like TensorRT, TFLite, or ONNX Runtime for edge model optimizati
  • on.Programm

    ing: Proficiency in Python and C/C++ for model integration, device communication, and real-time processi
  • ng.Hardware Platfo

    rms: Familiarity with deploying AI models on Jetson Nano, Raspberry Pi, Intel Neural Compute Stick, e
  • tc.Deployment & Test

    ing: Ability to build testing frameworks to simulate edge scenarios and monitor performan
  • ce.Real-Time Considerati

    ons: Understanding of latency, thermal constraints, power management, and memory limitatio

ns.What Were Looking

  • ForA developer passionate about running AI outside the cloudon devices where speed, efficiency, and privacy are criti
  • cal.A freelancer who can navigate hardware constraints and deliver smart, optimized ML models in product
  • ion.A systems thinker who bridges the gap between machine learning research and embedded engineer

ing.Why Joi

  • n UsImmediate I

    mpact: Help startups deploy AI models into real-world environmentsfrom warehouses to smart h
  • omes.Remote & Fle

    xible: Work from anywhere and structure your engagement on your own termshourly or project-b
  • ased.Future Opportun

    ities: Be continuously matched with projects in IoT, robotics, and real-time edg
  • e AI.Growth & Recogn

    ition: Be part of a trusted network that values cutting-edge technical expertise and applied AI deli

very.

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