CloudKerasPandasPythonPyTorchScikit-LearnTensorflowTypeScriptAIMachine LearningMLNatural Language ProcessingLarge Language ModelsTensorFlowscikit-learnStatistical Analysis
About this role
Role Overview
Support the development of AI/ML algorithms in a multitude of disciplines from object detection/classification, natural language processing, reinforcement learning, and large language models.
Work as part of a small team consisting of developers and researchers to implement machine learning algorithms to solve a broad set of challenges for our various customers.
Analyze large multi-domain datasets such as images, text, and/or graph data to identify statistically relevant features to build models that provide analysts with actionable data.
Using cloud services to train and deploy ML models.
Review relevant publications to understand and apply cutting edge concepts to defense and commercial applications.
Write technical documentation supporting code, program capabilities, and user-guides.
Requirements
Effective communicator with the ability to write and present technical reports
Experience with Python and any of the following Python data science / machine learning libraries: Pandas, scikit-learn, TensorFlow, Keras, Pytorch
Experience with one or more of the following: Applying unsupervised and/or supervised machine learning techniques
Applying and/or developing algorithms based in statistical analysis
Analyzing large datasets and building models to perform inference
BS in machine learning, computer science, mathematics, or relevant fields
2+ years of experience developing AI/ML applications, data science, and/or algorithm development
Active TS/SCI with Poly U.S. Government Security Clearance