AI Engineer – Computer Vision & Video Analytics

To Apply for this Job Click Here

The AI Engineer – Computer Vision & Video Analytics will design, optimize, and deploy production-grade computer vision systems supporting real-time video analytics and safety monitoring. This is a hands-on engineering role focused on building GPU-accelerated inference pipelines, integrating AI models into scalable applications, and improving the reliability, speed, and accuracy of video-processing solutions.

AI Engineer – Computer Vision & Video Analytics – Benefits:

• Health, dental, and vision insurance
• Paid time off and holidays
• 401(K) retirement savings plan options
• Opportunities for career advancement and professional growth

AI Engineer – Computer Vision & Video Analytics – Required Qualifications:

• 3+ years of professional experience developing and deploying production computer vision, machine learning, or deep learning applications.
• Strong Python programming skills with experience writing maintainable, production-quality code.
• Hands-on experience with OpenCV, PyTorch, and YOLO/Ultralytics or similar object-detection frameworks.
• Experience developing real-time or near-real-time video-processing and inference pipelines.
• Strong understanding of video analytics concepts, including frame processing, object detection, confidence thresholds, temporal filtering, and tracking.
• Hands-on experience optimizing GPU inference using technologies such as NVIDIA CUDA, TensorRT, and ONNX.
• Experience improving model and application performance through batching, quantization, profiling, latency reduction, and throughput optimization.
• Experience with asynchronous programming and high-performance I/O using tools such as asyncio and aiohttp.
• Experience building and integrating REST APIs, gRPC services, and other application interfaces.
• Experience deploying containerized applications using Docker in production environments.
• Strong troubleshooting and problem-solving skills, with the ability to diagnose model, application, infrastructure, and performance issues.
• Ability to collaborate effectively with AI, software engineering, product, and infrastructure teams.
• Strong ownership mentality with the ability to take solutions from initial design through production deployment and ongoing support.

AI Engineer – Computer Vision & Video Analytics – Preferred Skills:

• Experience building video analytics solutions for fleet management, transportation, telematics, industrial safety, IoT, robotics, or other real-time monitoring environments.
• Experience with Microsoft Azure services, including Azure Event Hubs and Azure Blob Storage.
• Experience using Azure Application Insights or similar application-monitoring and telemetry platforms.
• Familiarity with edge computing and deploying AI models to GPU-enabled or resource-constrained devices.
• Experience with model conversion, optimization, and deployment workflows using ONNX and TensorRT.
• Knowledge of MLOps practices, including model versioning, testing, monitoring, deployment automation, and performance tracking.
• Experience processing live camera feeds, recorded video, or high-volume streaming data.
• Understanding of production resiliency, fault tolerance, observability, and scalable distributed systems.
• Experience working in a fast-paced product environment with changing technical and business requirements.

JOB ID: 179217

#post

Olivier Ludunge

To Apply for this Job Click Here