Artificial Intelligence (AI) Engineer, Video Analytics, Onsite in Charlotte, NC

Artificial Intelligence (AI) Engineer, Video Analytics, Onsite in Charlotte, NC The Artificial Intelligence (AI) Engineer, Video Analytics will work with a team that builds GPU‑accelerated video analytics for real‑time safety monitoring across large fleets and industrial environments. The system processes high‑volume video streams, runs YOLO‑based detection models, performs temporal tracking and smoothing to reduce false positives, and identifies actionable safety violations. Inference results are published to downstream APIs and integrated with Azure Event Hub, Blob Storage, and cloud monitoring systems. If you enjoy pushing GPU performance limits, crafting resilient Machine Learning (ML) pipelines, and building real‑world safety applications that make an impact, you will fit right in. This position is 100% Onsite in Charlotte, NC. Artificial Intelligence (AI) Engineer Responsibilities: - Develop and optimize GPU‑accelerated video inference pipelines, including batching, stride control, and throughput tuning. - Implement, evaluate, and improve object detection models (YOLO or similar) and build temporal smoothing/tracking logic for safety event detection. - Optimize model performance using TensorRT, ONNX, CUDA, and GPU profiling tools to maximize throughput and minimize latency/VRAM usage. - Build and maintain integrations with event-driven APIs, Azure Event Hub, Blob Storage, and internal services. - Add robust metrics, logging, telemetry, and fail-safe mechanisms for resilient inference jobs. - Collaborate on dataset curation, labeling, model training, validation, and experiment tracking. - Support containerized deployments (Docker) and assist with monitoring and scaling production workloads. Artificial Intelligence (AI) Engineer Qualifications: - 3+ years of experience shipping computer vision or machine learning systems to production. - Strong proficiency in Python and experience with OpenCV, PyTorch, async I/O frameworks, and API integrations. - Hands-on exper