Mobile AI App Developer with Computer Vision

The QTI Group; Fort Atkinson (WI); Hybrid; USD 34,000 - 49,000; Full time

Job summary

The QTI Group is seeking an App Developer to build a mobile AI app with computer vision components. The role focuses on prototyping, deploying object detection models, and creating ML pipelines. Work will involve selecting tools like YOLO, OpenCV, PyTorch, and TensorFlow, with emphasis on mobile/edge deployment.

You will collaborate in a hybrid environment in Wisconsin, testing on-site in Fort Atkinson and remotely as needed, with a 4-8+ week project horizon and US work authorization required.

Qualifications

• Experience developing computer vision or object detection solutions.
• Hands-on with YOLO architectures.
• Experience deploying ML models to mobile/edge devices.
• Portfolio, GitHub, or examples of object detection projects.

Responsibilities

• Develop a functional prototype of a mobile AI app.
• Train and deploy object detection models (YOLO, etc.).
• Build ML training pipelines.
• Prepare image annotation workflows with tools like Roboflow or CVAT.
• Label and organize image datasets for model training/testing.
• Optimize models for mobile/edge deployment.
• Export/deploy models using CoreML or TensorFlow Lite.
• Develop a clean UI showing real-time detection results.
• Participate in prototype testing, troubleshooting, and improvement.
• Research deployment issues and resolve them independently.

Skills

Computer vision

YOLO frameworks

OpenCV

PyTorch

TensorFlow

Mobile deployment

Problem solving

Tools

Flutter

React Native

Swift

Kotlin

CoreML

Job description

The QTI Group is seeking an App Developer to build a mobile AI app with computer vision components. The role focuses on prototyping, deploying object detection models, and creating ML pipelines. Work will involve selecting tools like YOLO, OpenCV, PyTorch, and TensorFlow, with emphasis on mobile/edge deployment.

You will collaborate in a hybrid environment in Wisconsin, testing on-site in Fort Atkinson and remotely as needed, with a 4-8+ week project horizon and US work authorization required.