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VLM Engineer

aqua it • Springfield, VA, US • published 2026-09-19 05:37:23.189740

Description

**Responsibilities:** * Design and execute fine\-tuning pipelines for Vision\-Language Models (VLMs) on domain\-specific imagery datasets, including data preprocessing, training orchestration, and hyperparameter optimization * Develop and implement evaluation frameworks for multimodal model performance, including task\-specific metrics for image understanding, visual question answering, and spatial reasoning * Build scalable training infrastructure on AWS (SageMaker, EC2 GPU instances) for distributed fine\-tuning of large multimodal models * Engineer data pipelines for curating, annotating, and transforming geospatial imagery datasets into model\-ready formats for supervised and instruction\-tuning workflows * Collaborate with applied scientists and solutions architects to iterate on model architectures, adapter strategies (LoRA/QLoRA), and inference optimization techniques **Basic Requirements** * TS/SCI with CI Poly required * 5\+ years of professional machine learning engineering experience with a focus on deep learning * 1\+ years of hands\-on experience fine\-tuning large foundation models (LLMs or VLMs) * Experience with parameter\-efficient fine\-tuning methods (LoRA, QLoRA...

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