Bachelor’s or Master’s degree in computer science, engineering, physics, or related field.
• Have participated in US Federal Gov’t data science programs requiring TS/SCI clearance, delivering solutions requiring the combination of geospatial disciplines, and pattern of life analysis.
• Proven expertise custom developing AI programs “from the ground up”, including but not limited to, text processing, and optimized selection and application of multiple LLMs.
• Minimum two (2) years of experience designing and implementing machine-learning solutions based on first principles, including developing custom statistical methods without reliance on pre-built libraries.
• Minimum academic math background to include full calculus series, linear algebra, and statistics. Discrete math, advanced statistics, and differential equations are a plus.
• Knowledge and competence in databases such as Postgres, MySQL, SQL Server, as well as Python, C++, JAVA, React, NextJS, NodeJS, and AWS.
• Experience deploying analytic models in pilot or AWS production environments.
• Good communication skills with both technical and non-technical people.
• Strong understanding of model validation and performance measurement.
• Experience deploying advanced analytic solutions in public-sector or regulated environments
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