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Senior AI/ML Engineer (Smart City / Computer Vision)

Рівень:: senior
Джерело:: djinni.co

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Що робити

Model Development: Train, fine-tune, and evaluate computer vision models for object detection, counting, multi-object tracking, and classification (people and vehicles).
Advanced Analytics: Develop crowd analytics (density estimation, occupancy, heatmaps) and historical forecasting trend models (footfall).
Security & Anomalies: Implement event and anomaly detection for video alerts (overcrowding, restricted-area intrusion).
Pipeline Optimization: Optimize models and inference pipelines for real-time processing on customer-provided GPU/edge hardware (quantization, batching, acceleration).
Integration: Package models into deployable inference services and integrate them with video management interfaces (RTSP) and data pipelines (Vantiq).

Що очікуємо

Experience: At least 5 years of relevant AI/ML or computer vision engineering experience.
Domain Expertise: Proven track record of delivering production video analytics in smart-city, public-space, transport, or comparable environments.
Core Tech Stack: Advanced hands-on Python skills, PyTorch and/or TensorFlow, and OpenCV.
Infrastructure & Tools: Linux, Git, Docker, GPU-based training/inference, and model serving.
Video Analytics: Practical understanding of video streams, camera/VMS integration, asynchronous/concurrent processing, and time/location alignment.

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