Mobile Application Developer

Requirements:

• Strong Python programming skills, particularly for machine-learning training pipelines.
• Experience with computer vision frameworks such as OpenCV, PyTorch, or TensorFlow.
• Demonstrated ability to deploy machine-learning models to mobile or edge devices.
• Proficiency with at least one mobile development framework, such as Flutter, React Native, Swift, or Kotlin.
• Familiarity with image annotation, data augmentation, model optimization, and inference performance.
• Ability to work independently, research technical challenges, and resolve deployment issues.
• Knowledge of hardware acceleration technologies, including Apple Neural Engine or GPU acceleration, preferred.
• Experience with YOLO-based object detection architectures is a plus.

Responsibilities:

• Develop a mobile application prototype that uses on-device AI to count stacked warehouse supplies.
• Train and refine custom object detection models using YOLOv8, YOLOv11, YOLO-NAS, YOLOX, or similar frameworks.
• Set up an image annotation workflow with Roboflow, CVAT, or similar tools to label approximately 300–500 inventory images.
• Optimize and deploy trained models with CoreML or TensorFlow Lite for offline mobile inference.
• Build a mobile interface that displays real-time object counts, bounding boxes, and detection overlays from camera feeds or uploaded images.
• Test and improve model accuracy across different lighting conditions, camera angles, and warehouse environments.
• Collaborate with project stakeholders to refine functionality and troubleshoot deployment issues.

Technologies:

• AI
• Computer Vision
• Flutter
• Hardware
• Kotlin
• Mobile
• Model Training
• PyTorch
• Python
• React
• React Native
• Swift
• TensorFlow
• opencv
• Machine Learning
• UX UI Design

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We are seeking a Mobile Application Developer to build a functional prototype that uses on-device artificial intelligence to identify and count stacked warehouse inventory. The role combines custom object detection model training, mobile application development, and edge AI deployment. Frequent onsite collaboration and hands-on testing are required.

last updated 43 week of 2026