Job Description:
Quevera is seeking a
AI/ML Cloud Engineer to join our team. At Quevera, we don't just offer jobs-we provide opportunities to be part of a dynamic, forward-thinking community that fosters innovation, collaboration, and personal growth. You'll work with industry experts, take on exciting challenges, and have the creative freedom to build cutting-edge solutions, all while advancing your career in a space that truly values your skills and ideas.
HIGHLIGHT'S OF WORKING FOR QUEVERA:
Quevera employees voted Quevera as a TOP EMPLOYER in the Baltimore /DC area by the Washington for 2025 for the 5th consecutive year!
Excellent Quevera's Benefits:
Medical/Dental/Vision (
100% Employer Paid Medical Plan)
Short/Long Term Disability (Employer Paid)
Life Insurance (
Employer Paid)
Yearly $5,000 towards education/training/certification.
Employees are in control of their career path through our Career Pathway Program.
Employer paid Company Vacation Package for you and a guest! Retirement:
Quevera will match up to 6% towards your 401K and an additional 4% profit sharing!REQUIRED - MUST have a current TS/SCI Polygraph clearance to apply for role. Only those with a current TS/SCI with Poly clearance will be considered.Duties and Responsibilities:- Implement evaluation frameworks for Vision Language Models as automated assessors of Computer Vision model outputs
Develop and test prompt engineering strategies and few-shot learning approaches to optimize VLM performance
Create confusion matrix analyses and performance metrics to validate VLM accuracy against ground truth data
Support iterative testing and optimization of model prompts, examples, and configurations
Computer Vision & Image Processing:
Build systems to extract localized regions from large-format imagery (NITF, PNG) based on CV model inferences
Implement configurable buffer zone parameters and metadata retention systems for localizations
Handle edge cases including overlapping detections and multi-scale object recognition
Process imagery ranging from hundreds of MB to several GB in size
Data Engineering & Pipeline Development:
Coordinate with model development teams to access and assess classified ground truth datasets
Support data access patterns using AWS services (S3, IAM) for classified data
Build ETL pipelines to process, transform, and manage large volumes of imagery and metadata
Required Experience:- Technical Skills:
Experience with Vision Language Models (e.g., Claude, GPT-4V, LLaVA, CLIP) and prompt engineering
Hands-on experience with Computer Vision models and frameworks (YOLO, Detectron2, OpenCV)
Strong Python programming skills with experience in NumPy, Pandas, and image processing libraries
Experience with AWS cloud services (S3, SageMaker, Lambda, EC2)
Understanding of evaluation metrics, confusion matrices, and statistical validation methods
Domain Knowledge:
Familiarity with geospatial imagery and remote sensing data
Understanding of Ground Sampling Distance (GSD), image resolution, and multi-scale analysis
Exposure to NITF format and geospatial metadata standards
Knowledge of few-shot learning and other prompting techniques
Security & Environment:
Ability to work in classified/air-gapped environments
Professional Skills:
Strong problem-solving abilities for complex technical challenges
Good communication skills to coordinate with model development teams and stakeholders
Ability to work collaboratively under the direction of senior engineers
Willingness to learn and adapt to new technologies and methodologies
Experience documenting technical implementations and results
Desired Experience: Bachelor's or Master's degree in Computer Science, Machine Learning, Computer Vision, or related field
Experience with imagery analysis tools used in the Intelligence Community (iSpy, GeoServer)
Previous work on large-scale search or detection problems across large datasets
Familiarity with temporal analysis and change detection methodologies
Experience with distributed computing and optimization for large-scale processing
Background in defense, intelligence, or national security applications
Quevera is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age or any other characteristic protected by law. #LI-AA1
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