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GeoYeti, a division of Bcore

GeoYeti, a division of Bcore

www.geoyeti.com

1 Job

8 Employees

About the Company

GeoYeti focuses on advanced analytics, data science, and the development of applications that support the Intelligence Community and the Department of Defense. We seek to achieve tactical, operational, and strategic advantage through analytic and data superiority. We know mission and believe the best way to support mission is to hire and retain top talent. Our team members are our lifeblood and we value their voice. GeoYeti is a division of Bcore, a full-spectrum intelligence company built on trust and teamwork whose core mission is to innovate within the national security space.

Listed Jobs

Company background Company brand
Company Name
GeoYeti, a division of Bcore
Job Title
AI/ML Engineer
Job Description
**Job Title** AI/ML Engineer **Role Summary** Design, develop, and deploy AI/ML solutions for the U.S. Army. Modernize geospatial intelligence workflows using Python, ArcGIS, and geospatial libraries, integrating large language models (LLMs) to parse structured facts from free‑form text while ensuring compliance with relevant regulations and laws. **Expectations** - Work remotely, collaborating with cross‑functional teams on mission‑critical projects. - Deliver robust, production‑ready AI tools that meet stringent operational and security standards. - Maintain data integrity and adherence to legal, regulatory, and security requirements. **Key Responsibilities** - Develop and train machine‑learning models, including LLMs, to extract and structure factual information from text. - Process and analyze geospatial data using Fiona, Shapely, GDAL, and ArcGIS APIs. - Build end‑to‑end pipelines for data ingestion, feature extraction, model training, and inference. - Deploy models to cloud environments, ensuring scalability, reliability, and compliance. - Validate model outputs within the context of relevant rules, regulations, and laws. - Document designs, processes, and best practices for future maintenance and knowledge transfer. **Required Skills** - Advanced proficiency in Python. - Experience with geospatial libraries (Fiona, Shapely, GDAL). - Practical knowledge of ArcGIS platform and APIs. - Hands‑on experience building, fine‑tuning, and deploying LLMs for structured data extraction. - Familiarity with cloud deployment (AWS, Azure, or GCP). - Understanding of applicable regulations, rules, and laws governing ML in defense. - Strong analytical, problem‑solving, and communication skills. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Data Science, Geospatial Science, or related field (or equivalent experience). - U.S. citizenship.
United states
Remote
04-10-2025