Morgan McKinley is looking for a skilled AI Software Engineer for a 12-months contract with our client in the tech industry.
This role will be responsible for designing and maintaining advanced machine learning software for Android devices, such as AI-powered cameras. The role requires expertise in implementing machine learning algorithms and models on Android platforms.
As a key contributor, you will be instrumental in developing core components for our machine learning-enabled applications, with the opportunity to work on sophisticated edge AI systems.
Key Responsibilities:
- Implement and maintain machine learning algorithms and edge AI models on Android IoT devices, collaborating closely with the data science team.
- Optimize the performance of machine learning models for Android platforms, including video and audio processing tasks.
- Develop sensor data processing algorithms for Android applications.
- Provide technical support to product and operations teams.
- Create technical documentation and contribute to patent applications.
Required Qualifications:
- Bachelor's degree in Computer Science, Electronic Engineering, or a related field,
- With 3+ years of Android development and machine learning experience.
- Proven expertise in developing machine learning models on Android platforms for commercial products or projects.
- Proficiency in Java, Kotlin, or C/C++, with strong software development practices and experience in large-scale projects.
- In-depth knowledge of the Android kernel, including interrupt processing, memory management, process scheduling, and device drivers.
- Experience in debugging and optimizing Android systems, including performance tuning and power optimization.
- Familiarity with machine learning frameworks like TensorFlow Lite, PyTorch Mobile, or similar.
- Skills in optimizing machine learning models for mobile devices.
- Strong problem-solving abilities, communication skills, and teamwork.
Preferred Qualifications:
- Experience with audio or video processing on Android.
- Knowledge of open-source large language models (LLMs) and their deployment on devices.
- Familiarity with computer vision or voice recognition models.
- Experience in model training, distillation, and conversion for edge AI.
