ML Engineer

Seeking a Machine Learning Engineer to develop advanced ML and AI solutions for speech and audio applications on embedded hardware. This role focuses on building and optimizing virtual assistants using large language models (LLMs), tailoring models for edge devices, and ensuring high performance in real-time environments.


Key Responsibilities:

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

Must-Haves:

• Experience with embedded devices or physical hardware (IoT)
• Proficiency in Python programming
• Strong background in Machine Learning and AI

Nice-to-Haves:

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