🧠 Job Title: TensorFlow Developer – AI Model Optimization for Edge Devices
Location: Remote
Type: Contract / Freelance
Length: 3–6 months
Start: ASAP
👀 What We’re Working On
We’re building a real-time object detection system that runs directly on edge devices like Raspberry Pi, Jetson Nano, and Android phones. The core AI model is in TensorFlow, and we’re looking for someone who can help us tune, optimize, and deploy it efficiently without sacrificing performance.
You’ll be working closely with our engineering team to make sure the model runs fast and light—even in resource-constrained environments.
🔨 What You’ll Do
- Build and fine-tune deep learning models using TensorFlow and TensorFlow Lite
- Optimize models with quantization and pruning techniques
- Convert models to TFLite and run performance benchmarks on various devices
- Help integrate the models into APIs and mobile apps
- Set up automated training and deployment workflows
- Measure accuracy and run performance tests
✅ What We’re Looking For
- Solid hands-on experience with TensorFlow 2.x and TensorFlow Lite
- Strong Python skills and comfort with tools like NumPy, Pandas, OpenCV
- Experience working with CNNs, MobileNet, or EfficientNet
- Familiarity with optimizing models for mobile or edge deployment
- Comfortable working independently and communicating clearly
📩 How to Apply
Send us your resume, GitHub or portfolio link, and a quick note about a TensorFlow project you’ve worked on.
Big plus: If you can, include a short video (3 minutes or less) walking us through your TensorFlow project—what you built, how it works, and what you’re proud of. We’re not looking for perfect production, just real insight into your skills.