Computer Vision & AI/ML Engineer

- Design and implement Computer Vision and AI/ML models for people and vehicle detection, classification, tracking, and behavior analysis.- Develop and optimize real-time object detection and recognition systems using deep learning techniques and modern computer vision frameworks.- Work with image and video datasets from surveillance and edge devices, including data preparation, annotation, training, validation, and performance evaluation.- Apply object detection, motion tracking, image classification, and pattern recognition techniques to solve real-world computer vision problems.- Develop and integrate Vision-Language Models (VLMs) for visual understanding, image analysis, and intelligent AI applications.- Deploy and optimize computer vision models on edge devices, focusing on low-latency inference, resource efficiency, and real-time performance.- Build and integrate REST APIs to expose AI/Computer Vision models and connect them with production applications and backend systems.- Collaborate with product and engineering teams to integrate AI models and computer vision pipelines into production environments.- Continuously improve model performance through dataset refinement, augmentation, fine-tuning, and feature engineering.- Conduct detailed error analysis to identify false positives and false negatives and implement advanced filtering and post-processing techniques.- Monitor and optimize model performance across different environments, cameras, lighting conditions, and deployment hardware.- Translate complex AI and computer vision results into clear insights, metrics, and visualizations for technical and non-technical stakeholders.- Stay up to date with state-of-the-art research in computer vision, deep learning, VLMs, and edge AI and evaluate their applicability to production use cases.