AI/Machine Learning Engineer (Computer Vision & VLLMs)

Role Overview:

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.

Key Responsibilities:

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.

Required Qualifications:

• Experience: 3+ years in Machine Learning, AI Engineering, or a heavily focused Computer Vision role.
• Technical Skills: Strong proficiency in Python and deep learning frameworks (PyTorch, TensorFlow).
• Hands-on experience with Vision-Language Models (VLLMs) or Large Multimodal Models (LMMs).
• Proven experience with traditional Computer Vision techniques and object detection models (YOLO, ResNet, etc.) for image classification and filtering.
• Data Handling: Experience managing and cleaning large-scale, unstructured image datasets.
• System Architecture: Understanding of how to build and deploy ML models into production environments (Docker, FastAPI, cloud or edge deployments).

Nice to Have:

• Previous experience working with traffic monitoring, smart city infrastructure, or parking management systems.
• Familiarity with handling time-series image data or edge-computing environments.

Job Type: Full-time

Application Question(s):

• Can you start immediately?

Experience:

• Information Technology: 3 years (Required)
• Ai/Machine Learning: 3 years (Required)

Work Location: In person