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We are looking for an experienced Senior Mobile App Developer to build a highperformance native mobile application with a strong focus on video capture, on-device ML-based live processing, and backend integration for 2D/3D data workflows. While the initial release will focus on iOS (Swift) to take full advantage of native device capabilities, the solution will be extended to Android (Kotlin) in the next phase. The ideal candidate should have solid experience building robust native apps, with deep integration across camera hardware, AR/ML frameworks, and cloud-based video workflows.
Job Responsibility:
Design and develop a native iOS app in Swift and later extend functionality to Android using Kotlin
Implement advanced camera features using AVFoundation (iOS) and CameraX / Camera2 API (Android)
Integrate ARKit/RealityKit (iOS) and ARCore (Android) for distance sensing and camera calibration
Leverage CoreML (iOS) or TensorFlow Lite (Android) for on-device ML-based noise filtering and live validation
Handle asynchronous video capture and upload, supporting multi-part processing (e.g., 4-tire scan flow)
Work with backend teams to manage secure video uploads to Azure Blob Storage, retrieve outputs from CDL, and display: 2D heatmaps
3D point clouds (. PLY format)
Build foundational components to later expose this functionality as a native SDK for integration into third-party customer apps (e.g., Michelin B2B clients like Coyote)
Collaborate with backend, AI/ML, 3D, and DevOps teams to ensure seamless end-to-end integration
Manage deployments via TestFlight (iOS) and Google Play Console (Android)
Requirements:
iOS Native Development (Swift): Strong experience in building iOS apps using Swift
Expertise with AVFoundation for camera access and video processing
Proficient with ARKit or RealityKit for real-time distance estimation and spatial understanding
Experience with CoreML for live, on-device video filtering and ML inference
Android Native Development (Kotlin): Solid hands-on experience developing Android applications in Kotlin
Familiarity with CameraX or Camera2 API for high-quality video capture
Working knowledge of ARCore for augmented reality-based measurements
Experience with TensorFlow Lite or other Android-compatible ML libraries
Video, Cloud, and Data Integration: Deep experience with video encoding, compression, and asynchronous media processing
Integration experience with Azure Blob Storage and Centralized Data Lake (CDL)
Familiarity with 2D visualization techniques and handling of 3D point cloud formats (e.g., PLY)
Proven ability to integrate with secure RESTful APIs for data exchange
SDK Development & Deployment: Experience building mobile SDKs for native integration into other iOS/Android apps
Strong understanding of mobile app lifecycles, embedded modules, and plug-and-play SDK architecture
Knowledge of deployment and release cycles via TestFlight and Google Play Console
Familiarity with CI/CD pipelines for mobile development
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