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Principal AI Engineer (Video Analytics: C#, Python) - OP02045 at Dev.Pro. 🟢 We’re expanding our team and opening new remote opportunities! Review the role expectations, share your resume in English, and our team will follow up shortly.. We invite a skilled AI Engineer to join our team in building GPU-accelerated video analytics for real-time safety monitoring across large fleets and industrial environments. In this role, you’ll help design and optimize pipelines that detect and track actionable safety events in high-volume video streams. You’ll work on real-world systems that make an impact, collaborating with engineering and product teams to deliver reliable, high-performance solutions.. 🟩. What's in it for you:. Collaborate with top engineers on an innovative, technically challenging computer vision project . Build impactful systems that enhance safety across large fleets and industrial operations. Gain hands-on experience with GPU-accelerated video analytics, temporal tracking, and real-time safety monitoring. ✅ Is that you?. 7+ years of software engineering experience with strong backend skills . 3+ years of experience shipping computer vision solutions to production. Strong Python proficiency. Experience with OpenCV, PyTorch, async I/O frameworks, and API integrations . Hands-on experience with YOLO/Ultralytics or similar object detection frameworks. Experience detecting, labeling, and tracking objects in video. Solid knowledge of frame sampling, confidence thresholds, temporal filtering, and multi-camera aggregation. Experience with GPU inference optimization (batching, stride, TensorRT, CUDA, quantization, throughput tuning) . Ability to communicate and collaborate effectively with engineering and product teams. Upper-Intermediate+ English level. Desirable:. Experience with Azure Event Hub, Blob Storage, Application Insights, or similar. Familiarity with Docker, cloud deployments, and production monitoring systems . Experience in temporal/sequence analysis for event detection. Experience with video analytics in safety, compliance, or industrial/transportation environments. 🧩Key responsibilities and your contribution . In this role, you’ll develop and maintain robust backend solutions that process video data and deliver actionable insights using pre-trained computer vision models.. Develop and optimize GPU-accelerated video inference pipelines for real-time processing. Implement, evaluate, and improve object detection models (YOLO or similar). Build temporal smoothing and tracking logic for safety event detection. Optimize model performance using TensorRT, ONNX, CUDA, and GPU profiling tools. Build and maintain integrations with event-driven APIs, Azure Event Hub, Blob Storage, and internal services. Add 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 workload. Our next steps:. ✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Internal interview — ✅ Client interview — ✅ Offer. Interested? Find out more:. 📋How we work. 💻 LinkedIn Page. 📈 Our website . 💻IG Page . Company Location: Argentina.