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

Charlotte, NC, United States

Sponsorship not specifiedDetected 13 days ago
PythonAzureDockerRESTgRPCMachine LearningPyTorchComputer Vision

About the role

  • 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

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.
  • Collaborate on dataset curation, labeling, model training, validation, and experiment tracking.
  • Support containerized deployments (Docker) and assist with monitoring and scaling production workloads.

Requirements

  • Strong proficiency in Python and experience with OpenCV, PyTorch, async I/O frameworks, and API integrations.
  • Hands-on experience with YOLO/Ultralytics or similar object detection frameworks.

Nice to have

  • Experience optimizing GPU inference performance batching, stride, TensorRT, CUDA, model quantization, and throughput tuning.
  • Experience with Azure Event Hub, Blob Storage, Application Insights, or similar cloud messaging/storage platforms is a plus.
  • Familiarity with Docker, cloud deployments, and production monitoring systems is a plus.
  • Experience in temporal/sequence analysis for event detection is a plus.
  • Background in video analytics for safety, compliance, or industrial/transportation environments is a plus.

Skills

  • Artificial Intelligence (AI) Engineer, Video Analytics, Onsite in Charlotte, NC
  • Inference results are published to downstream APIs and integrated with Azure Event Hub, Blob Storage, and cloud monitoring systems.
  • This position is 100% Onsite in Charlotte, NC.
  • Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.
  • Our IT recruiting agencies and staffing companies can help.
  • Please contact our IT recruiting agencies and IT staffing companies today!
  • Please check out all of our jobs at www.ginastechjobs.com.
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