AI Engineer – Computer Vision & Video Analytics JN -072026-179217

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 insurancePaid time off and holidays401(K) retirement savings plan optionsOpportunities 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 , $120,000 - $165,000,