Responsibilities
- Develop and maintain iOS/macOS applications utilizing Swift with a strong focus on performance and user experience.
- Implement machine learning models using CoreML ensuring efficient ondevice processing and optimization for realtime performance.
- Work with audio processing frameworks such as AVFoundation or AudioEngine to integrate realtime audio processing and manipulation features.
- Collaborate with crossfunctional teams including data scientists designers to rapidly iterate on features.
- Optimize and finetune ML models for deployment on resourceconstrained devices (i.e. iPhones iPads).
- Handle superfast iterations and continuous deployment ensuring minimal downtime and quick updates to production apps.
- Write clean maintainable and testable code with an emphasis on scalable architectures.
- Conduct performance profiling and debugging ensuring applications run efficiently even with complex audio and ML workloads.
- Stay updated on the latest developments in CoreML Swift and audio processing technologies ensuring best practices are applied.
Qualifications
- Strong proficiency in Swift and SwiftUI (we have little to no UIKit) with experience in developing and deploying iOS or macOS applications.
- Experience with CoreML and ondevice machine learning particularly in integrating and optimizing ML models for mobile devices.
- Proficiency in audio processing frameworks like AVFoundation AudioEngine or other relevant libraries for realtime audio manipulation.
- Understanding of ondevice ML optimization including model quantization compression and execution on hardware accelerators like Apples Neural Engine.
- Familiarity with rapid development cycles including continuous integration testing and deployment (CI/CD).
- Knowledge of performance optimization techniques including reducing app memory and CPU footprint while maintaining realtime responsiveness.
- Experience with multithreading and asynchronous code to ensure smooth audio and ML processing.
- Strong problemsolving and debugging skills particularly in complex realtime applications.
Job Type: Fulltime
Pay: AED18000.00 AED25000.00 per month
Application Question(s):
- What do you think are main limitations of running ondevice AI models
- What do you think is the easiest model to run ondevice: ASR LLM or Image Generation
Application Deadline: 24/10/2024
This job has been sourced from an external job board.
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