GeoYeti, a division of Bcore
Machine Learning Engineer
GeoYeti, a division of Bcore, Virginia, Minnesota, United States, 55792
Machine Learning Engineer at GeoYeti, a division of Bcore
We are seeking a Machine Learning Engineer to support short‑term, high‑impact projects in Dulles, VA. You will apply advanced data science techniques to novel challenges, working closely with customers and stakeholders to deliver actionable insights.
Key Responsibilities • Design, implement, and maintain machine learning workflows that solve practical challenges. • Evaluate models, produce metrics, and support model selection for production readiness. • Interface with hosted large‑language models (LLMs) programmatically. • Communicate requirements, status, and outcomes to customers and team members effectively.
Required Qualifications
Active TS/SCI clearance required; CI poly clearance at start.
3+ years experience with Python and relevant machine learning libraries.
Proven experience implementing machine learning workflows to solve practical challenges.
Experience evaluating similar models and producing metrics for model selection.
Experience interacting with hosted large language models (LLMs) programmatically.
Experience managing code with version control systems such as git.
Desired Qualifications
Experience with models based on satellite or aerial imagery.
BCore is an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, veteran status, sexual orientation, or any other characteristic protected by law.
Seniority Level
Mid‑Senior level
Employment Type
Full‑time
Job Function
Engineering and Information Technology
Industries
Defense & Space
Location Dulles, VA
#J-18808-Ljbffr
Key Responsibilities • Design, implement, and maintain machine learning workflows that solve practical challenges. • Evaluate models, produce metrics, and support model selection for production readiness. • Interface with hosted large‑language models (LLMs) programmatically. • Communicate requirements, status, and outcomes to customers and team members effectively.
Required Qualifications
Active TS/SCI clearance required; CI poly clearance at start.
3+ years experience with Python and relevant machine learning libraries.
Proven experience implementing machine learning workflows to solve practical challenges.
Experience evaluating similar models and producing metrics for model selection.
Experience interacting with hosted large language models (LLMs) programmatically.
Experience managing code with version control systems such as git.
Desired Qualifications
Experience with models based on satellite or aerial imagery.
BCore is an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, veteran status, sexual orientation, or any other characteristic protected by law.
Seniority Level
Mid‑Senior level
Employment Type
Full‑time
Job Function
Engineering and Information Technology
Industries
Defense & Space
Location Dulles, VA
#J-18808-Ljbffr