Swift Developer

2 months ago


Internet City, United Arab Emirates Talent Pal Full time

**Responsibilities**:

- **Implement machine learning models** using CoreML, ensuring efficient on-device processing and optimization for real-time performance.
- **Work with audio processing frameworks** such as AVFoundation or AudioEngine to integrate real-time audio processing and manipulation features.
- **Collaborate with cross-functional teams** including data scientists, designers to rapidly iterate on features.
- **Optimize and fine-tune ML models** for deployment on resource-constrained devices (i.e., iPhones, iPads).
- **Handle super-fast iterations and continuous deployment**, ensuring mínimal downtime and quick updates to production apps.
- **Write clean, maintainable, and testable code** with an emphasis on scalable architectures.
- **Stay updated on the latest developments** in CoreML, Swift, and audio processing technologies, ensuring best practices are applied.

**Qualifications**:

- **Experience with CoreML and on-device 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 real-time audio manipulation.
- **Understanding of on-device ML optimization**, including model quantization, compression, and execution on hardware accelerators like Apple’s 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 real-time responsiveness.
- **Experience with multithreading and asynchronous code** to ensure smooth audio and ML processing.

Pay: AED18,000.00 - AED25,000.00 per month

Application Question(s):

- What do you think are main limitations of running on-device AI models?
- What do you think is the easiest model to run on-device: ASR, LLM or Image Generation

Application Deadline: 24/10/2024

This job has been sourced from an external job board.


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