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Parkonic Parking Systems and Management LLC
We are seeking a specialized AI/Machine Learning Engineer to lead the automation of AI system. You will be responsible for processing and analyzing high-volume image data captured from thousands of network cameras.
The core of this role involves building automated data-cleaning pipelines and fine-tuning Vision Large Language Models (VLLMs) to analyze complex parking scenarios, seamlessly integrating these insights with our existing third-party OCR systems.
Data Pipeline & Automation: Design and deploy automated pipelines to ingest, filter, and clean interval-based image data. Implement pre-processing models (e.g., YOLO, SSD, or custom classifiers) to automatically identify and discard low-quality, redundant, or irrelevant images before they reach the main analysis engine.
VLLM Implementation: Select, fine-tune, and deploy open-source Vision Large Language Models (e.g., LLaVA, Qwen-VL) to evaluate complex scenarios without human intervention.
Model Optimization: Optimize the AI models for fast inference and scalability to handle thousands of concurrent image streams efficiently.
Collaboration: Work closely with backend developers and systems engineers to ensure smooth API integration and deployment into the existing production infrastructure.
Job Type: Full-time
Work Location: In person
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