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.