Work requirementS

• The Candidate shall develop and conduct independent testing and evaluation methods on research-grade algorithms in applicable fields.
• The Candidate shall report results and provide documentation and guidance on working with the research-grade algorithms.
• The Candidate shall evaluate, integrate and leverage internally-hosted data science tools.
• The Candidate shall customize research grade algorithms to be optimized for memory and computational efficiency through quantizing, trimming layers, or through custom methods

required skills and demonstrated experience

• Demonstrated hands-on experience in Python, Javascript, and R.
• Demonstrated hands-on experience employing machine learning and deep learning modules such as Pandas, Scikit, Tensorflow, Pytorch.
• Demonstrated experience with statistical inference, as well as building and understanding predictive models, using machine learning methods.
• Demonstrated experience with large-scale text analytics.

Highly Desired skills and demonstrated experience

• Demonstrated hands-on experience performing research or development with natural language processing and working with, deploying, and testing Convolutional Neural Networks (CNN), large-language models (LLMs) or foundational models
• Demonstrated hands-on experience developing and deploying testing and verification methodologies to evaluate algorithm performance and identify strategies for improvement or optimization
• Demonstrated experience deploying machine learning models on multimedia data, to include joint text, audio, video, hardware, and peripherals.
• Demonstrated experience with Linux System Administration and associated scripting languages (Bash)
• Demonstrated experience with Android configuration, software development, and interfacing.