AI/ML Engineer (Geospatial)

Job Title: AI/ML Engineer (Geospatial) Job Category: Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Outside Continental US * * * The Opportunity: Are you a passionate Geospatial AI/ML Engineer Expert who thrives in a creative environment applying non-traditional approaches to large-scale analysis of structured and unstructured data? Do you enjoy developing cross-cutting solutions to effectively integrate and optimize the various and disparate sources, methods, technologies to effectively translate and integrate academic research and commercial best practices into sustainable analytic workflows? Join our team as an Expert Geospatial AI/ML Engineer! You will get to use your computational and technical skills in data science, in conjunction with your expertise applying efficient and effective AI/ML models; meaningful exploitation and analysis; and rapidly integrate and leverage new sources, methods and technology that account for non- technical end users in support of informed resource allocation and optimization, actionable insight, and meaningful anticipation and influence. Your expertise with advanced tools and computational analytics will be critical to interpret, connect, predict, and make discoveries in complex data in support of actionable intelligence executed [... source excerpt omitted ...] of AI/ML engineering methodologies will be crucial to development of strategies, plans, and programs in anticipation of current and future operational missions. As part of a team, you will deploy AI/ML capabilities using multiple technological and computational methodologies, to provide insight and understanding of the operational environment or point of interest. Qualifications: Required: Top Secret clearance with SCI eligibility Bachelor’s degree in Computer Science or similar field (Information Systems, Mathematics, Engineering, or Data Science) and 8 years of experience with data analytics methodology supporting the DoD or IC Typically, 12 years of progressive related ex [... source excerpt omitted ...] in development and implementation of at least one of the following: computational modeling, statistics, applied mathematics, computer science, and/or data analytics in support of customer business cases Experience assessing and developing analytical methodologies to enhance customer’s analysis process/ products Experience implementing at least one of the following machine learning algorithms, data mining, and statistical algorithms for pattern recognition and the development of predictive models Shall possess strong oral and written communication skills and be capable of effectively leading projects Obtain and maintain currency of the appropriate level certification per DOD