AI/ML Cloud Engineer

• 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

• 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 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 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.