GPU-Accelerated Video Analytics AI Engineer

Gina’s Tech Jobs - IT Recruiting Agency; Charlotte (NC); On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

Medical insurance

Dental

Vision

Savings plan

Paid time off

Job summary

Gina’s Tech Jobs - IT Recruiting Agency seeks an Artificial Intelligence (AI) Engineer for onsite work in Charlotte, NC. You will develop GPU-accelerated video inference pipelines and optimize YOLO-based models for real-time safety monitoring across large fleets and industrial environments.

You will integrate with Azure Event Hub and Blob Storage, collaborate on dataset curation, and help productionize ML pipelines with Docker and cloud monitoring tools.

Qualifications

• 3+ years of experience shipping computer vision or ML systems to production.
• Strong proficiency in Python with OpenCV and PyTorch.
• Hands-on experience with YOLO/Ultralytics object detection.
• Understanding video processing fundamentals: frame sampling, temporal filtering, multi-camera aggregation.
• Experience optimizing GPU inference performance (TensorRT, CUDA, batching).
• Familiarity with Docker and cloud deployments is a plus.
• Experience with Azure Event Hub / Blob Storage is a plus.

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.

Skills

Python

OpenCV

PyTorch

YOLO

Async I/O

API integrations

Tools

Docker

TensorRT

CUDA

ONNX

Azure Event Hub

Azure Blob Storage

gRPC

RESTful APIs

Ultralytics YOLO

Job description

Gina’s Tech Jobs - IT Recruiting Agency seeks an Artificial Intelligence (AI) Engineer for onsite work in Charlotte, NC. You will develop GPU-accelerated video inference pipelines and optimize YOLO-based models for real-time safety monitoring across large fleets and industrial environments.

You will integrate with Azure Event Hub and Blob Storage, collaborate on dataset curation, and help productionize ML pipelines with Docker and cloud monitoring tools.