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Mobile Application
2 weeks ago
We are seeking a skilled Mobile Application Developer with hands-on experience in developing
and maintaining applications for both Android and iOS platforms. The candidate also has a solid
foundation in AI/ML, capable of building high-performance, sensor-integrated mobile
applications and intelligent features. The ideal candidate should have a strong understanding of
mobile application architecture, modern development frameworks, and best practices across
both ecosystems. You will work collaboratively with cross-functional teams to design, develop,
and deploy mobile applications that deliver exceptional user experiences.
Responsibilities
- Design, develop, test, and maintain Android and iOS mobile applications.
- Work with UI/UX designers to implement modern and responsive interfaces.
- Integrate third-party libraries, APIs, and external services.
- Integrate with Bluetooth Low Energy (BLE) and wearable devices for real-time biometric
data (heart rate, accelerometer, gyroscope, temperature, etc.).
- Implement on-device data processing pipelines using Android APIs, co-routines, and
reactive programming (RxJava, Flow).
- Develop, deploy and optimize machine learning models using TensorFlow Lite, ML Kit, or
PyTorch Mobile.
- Troubleshoot and debug to optimize performance.
- Maintain and refactor existing code, including fixing bugs and adding features.
- Implement secure coding practices (authentication, encryption, obfuscation).
- Work with CI/CD tools and version control systems like Git.
- Stay updated with the latest mobile development trends and technologies.
Qualifications & Skills
- Bachelor's degree in Computer Science, Software Engineering, or a related field.
- 2–4 years of experience in mobile app development (Android and/or iOS).
- Android: Proficiency in Java and Kotlin; strong experience with Android SDK, Jetpack
Compose, Android Jetpack components and Android Studio.
- iOS: Proficiency in Swift and/or Objective-C; strong experience with Xcode and iOS SDK.
- Familiarity with hardware integrations (camera, accelerometer, gyroscope, etc.).
- Knowledge of RESTful APIs, JSON/XML data handling.
- Proven experience designing, training, and deploying machine-learning models for mobile
applications.
- Proficiency with on-device ML frameworks (Tensor Flow Lite, ML Kit, PyTorch Mobile).
- Familiarity with biometric or time-series signal processing (HRV, RHR, sleep patterns).
- Understanding of model optimization, quantization, and lifecycle management on Android.
- Health & Sensor Data (Nice to Have):
- Exposure to biometric data (heart rate, accelerometer, gyroscope, temperature).
- Experience working with fitness APIs (e.g., Google Fit, Health Connect).
- Experience with dependency injection frameworks and mobile architecture patterns.
- Experience with CI/CD pipelines and automated deployment tools.
Job Type: Full-time
Work Location: In person