Overview
USD 55-55
Full Time
Part Time
Accepts corp to corp applications
Contract - Independent
Contract - W2
Skills
ML
Job Details
Job Title: ML Engineer
Interview: On Site
Job Location: Plano, TX
Job Duration: 6+ Months
Description:
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:
Must-Haves:
Nice-to-Haves:
Interview: On Site
Job Location: Plano, TX
Job Duration: 6+ Months
Description:
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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.