AI/ML Cloud Engineer

Quevera LLC • Herndon, VA

1d

About The Position

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.

Requirements

• 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.
• 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
• 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
• Ability to work in classified/air-gapped environments
• 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

Nice To Haves

• 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

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
• 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
• 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

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!
• Quevera will match up to 6% towards your 401K and an additional 4% profit sharing!

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level