Morgan McKinley is looking for a skilled Edge AI and IoT 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.
  

Interested candidates may apply through the application system or send it to [email protected]. Shortlisted candidates will be notified.

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