Overview
Remote
$60 - $80
Contract - W2
Contract - Independent
Skills
data scientist
data
Job Details
Hello,
Greetings of the Day!
Role : ML/AI Architect
Location : Dallas, TX, Ashburn, VA
Responsibilities for learning architect
- Work with the software tools and library teams to ensure appropriate software support for the DSP and to ensure competitive cycle count performance of a variety of deep learning algorithms and networks on the DSP
- Gain expert knowledge of the underlying Xtensa processor architecture and software tools to effectively use this platform to build Deep Learning DSPs
- Occasionally participate in projects or escalations to stay close to the current deployment challenges and customer use cases
- Assessing the need and creation of tools, templates, project plans, estimating tools and methodology documentation
- Managing the creation and maintenance of pre-configurations in order to drive efficiency
- Keeping up to date and provide feedback on feature designs, product roadmap and development progress of specific product area
- Serve as an escalation point for product issues Influence product direction based on customer needs and deployment needs
- Support Account Directors throughout the sales funnel by leading client working sessions, participating in the creation and review of proposals, and acting as an internal subject matter expert
- Make product recommendations to confidently meet the client s objectives, or advise and document conditions and constraints for when GA is not well suited to deliver
- Establish consultative, advisory relationships with client sponsors
Qualifications for learning architect
- Ideally, you have some experience with design and/or learning technology (could be as simple as Excel, PowerPoint, Adobe products, Learning Interoperability Standards
- Background in hardware architecture (pipelining, memory hierarchies, DRAM characteristics, power and area estimates)
- Bachelor s degree in science, engineering or IT or related field or equivalent experience
- Minimum MS or equivalent, PhD preferred
- Expert in algorithm modifications and optimizations for efficient processing including fixed point conversion, exploiting parallelism, balancing data transfer and computation
- Expert in use of Machine learning and computer vision frameworks and libraries such as Caffe, Torch, Tensorflow, OpenCV