Description

You will develop ML and AI solutions for speech and audio applications on embedded hardware.

Responsibilities

• Design and implement end-to-end conversational AI systems.
• Benchmark and fine-tune speech models for embedded and IoT applications.
• Develop ML pipelines and optimize deployment for specific hardware platforms like Qualcomm SA8255P.
• Execute the full ML lifecycle, including data preparation, model training, and evaluation.
• Implement audio preprocessing, model integration, and performance tuning in Python.

Required Skills

• 12+ years of experience in Machine Learning and AI.
• Proficiency in Python programming.
• Direct experience with embedded devices or physical IoT hardware.
• Experience building and optimizing virtual assistants using large language models (LLMs).
• Ability to tailor models for edge devices and real-time environments.
• Bachelor's degree.

Preferred Skills

• Experience with Conversational AI technologies.
• Familiarity with AWS or other cloud platforms.

Key Skills

Education

Bachelor's degree