Android IoT Machine Learning Engineer
9 hours ago
The Opportunity
Opportunity to work with MNC Client
5 days' work week, Office Hours
Working location: One-north business park
The Day-to-Day A..
The Opportunity
- Opportunity to work with MNC Client
- 5 days' work week, Office Hours
- Working location: One-north business park
The Day-to-Day Activities
- Implement and maintain machine learning algorithms and edge AI models provided by the data scientist team on Android based IoT devices.
- Integrate machine learning models and optimize performance on Android platforms.
- Work on video and audio processing using machine learning techniques on Android devices.
- Develop sensor data processing algorithms for the applications on Android platforms.
- Provide technical support for product and operations teams.
- Write related technical documentation and contribute to patent applications.
The Must-Haves
- Bachelor’s degree in Computer Science, Electronic Engineering, or related fields, with 3+ years of experience in Android development and machine learning (framework layer & system services related).
- Proven track record of developing machine learning models and algorithms on Android platforms for successful commercial products or projects.
- Proficient in Java, Kotlin, or C/C++ languages, with good programming habits and large-scale software development experience.
- Familiar with Android kernel, including interrupt processing, memory management, process scheduling, device drivers, etc.
- Experience with Android system issue analysis and solving, including deadlock, crash, performance optimization, and low power optimization.
- Proficient in machine learning frameworks such as TensorFlow Lite, PyTorch Mobile, or similar.
- Experience in optimizing machine learning models for mobile devices.
- Excellent problem analysis and solving capabilities, communication skills, and teamwork.
Preferred Qualifications
- Experience in audio or video processing on Android systems.
- Experience with open source large language model (LLM) inference on devices.
- Familiarity with computer vision models or voice recognition models.
- Familiarity with machine learning model training, model distillation, model conversion for edge AI.
Next Step
Prepare your updated resume and expected package.
Simply click on 'Apply here' or email to [email protected] to drop your resume
All shortlisted candidates will be contacted.
Prasant Sirohi
EA Licence Number: 91C2918
Registration Number: R22106307
Official account of Jobstore.
