New opportunities in Latin America! Dev.Pro is a US-based software development company helping tech companies build their products and grow their business. We're remote-first, and we work with independent contractors in over 55 countries, so you'd be collaborating in a multicultural environment on some really interesting projects.

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 - Contribute to dataset curation, labeling, and model evaluation; fine-tuning/training as needed - Support containerized deployments (Docker) and assist with monitoring and scaling production workload

📌 Computer Vision Engineer (Video Analytics, Python)-OS (Iquitos)
🏢 Dev.Pro
📍 Iquitos