Application Developer

QTI is partnering with a growing organization seeking an experienced App Developer to help build a mobile application utilizing artificial intelligence and computer vision technology.

This is an exciting opportunity to develop a real-world AI-driven solution from concept through prototype. The ideal candidate will have experience training and deploying object detection models and will enjoy working in a collaborative environment where they can directly influence the success of the project.

This project is expected to last 4-8 weeks, with potential for additional projects and longer-term opportunities based on project success.

Schedule: Monday-Friday, approximately 9:00 AM-5:00 PM. Hybrid work environment with a mix of onsite collaboration and remote development work.

Location: Candidates must be based in Southern Wisconsin and available for frequent onsite collaboration and prototype testing in the Fort Atkinson area.

Compensation: Starting at $30 /hour, based on experience.

Responsibilities:

• Develop a functional prototype of a mobile application utilizing artificial intelligence and computer vision technology.
• Train and deploy custom object detection models using frameworks such as YOLOv8, YOLOv11, YOLO-NAS, YOLOX, or similar technologies.
• Build and maintain machine learning training pipelines.
• Prepare and manage image annotation workflows using tools such as Roboflow, CVAT, or similar platforms.
• Label and organize image datasets to support model training and testing.
• Optimize machine learning models for deployment on mobile and edge devices.
• Export and deploy models using technologies such as CoreML, TensorFlow Lite, or similar frameworks.
• Develop a clean and intuitive user interface that displays real-time object detection results.
• Participate in prototype development, testing, troubleshooting, and continuous improvement.
• Research and resolve deployment and application issues independently.

Qualifications:

• Demonstrated experience developing and deploying computer vision or object detection solutions.
• Hands-on experience with YOLO architecture or similar object detection frameworks.
• Strong Python programming skills.
• Experience with OpenCV, PyTorch, TensorFlow, or similar technologies.
• Experience deploying machine learning models to mobile or edge devices.
• Familiarity with Flutter, React Native, Swift, Kotlin, or similar mobile development platforms.
• Strong problem-solving and troubleshooting abilities.
• Authorization to work in the United States.
• Ability to provide a portfolio, GitHub repository, or examples of successful object detection projects.