Job Summary
The role focuses on leading the creation and deployment of advanced multimodal AI systems, particularly in the context of vision-language and agent-based applications for industrial wearable technologies. You will be responsible for developing model pipelines, enhancing edge inference capabilities, and designing real-time voice and video interfaces to support field technicians.
Responsibilities
- Oversee the entire lifecycle of multimodal AI stack development and its deployment.
- Build and maintain model pipelines that integrate various AI functionalities.
- Optimize performance for edge inference applications.
- Create and refine real-time communication interfaces, including voice and video, tailored for field use.
Qualifications
- 2 to 6 years of hands-on experience in deploying production-grade multimodal AI systems.
- Strong expertise in Python and PyTorch for AI development.
- A bachelor’s or master’s degree in computer science, machine learning, engineering, or a related field, or equivalent professional experience.
