Description

Optimize and deploy machine learning models across diverse hardware architectures, including GPU, DSP, and NPU. Develop and maintain Android applications while integrating ML models into mobile environments.

This role is on-site.

Responsibilities

• Customize AI models for efficient execution on GPU, DSP, and NPU hardware.
• Develop and maintain Android applications using Java or Kotlin.
• Implement multimedia frameworks for high-performance graphics and compute.
• Integrate machine learning models into mobile environments.
• Maintain code quality and performance standards.

Required Skills

• 3-5 years of professional software engineering experience.
• Proficiency in C++.
• Experience with ML frameworks such as TensorFlow Lite, PyTorch, or ONNX.
• Experience with hardware acceleration tools like SNPE or QNN.
• Android application development using Java or Kotlin.
• Working knowledge of Android multimedia frameworks including Vulkan or OpenGL.
• Any Graduate degree.

Key Skills

Education

Any Graduate