Computer Vision Engineer (Video Analytics, Python) - OP02259-OS

About the role

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 Our next steps: ✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Interview — ✅ Signing the Contract Interested? Find out more: 📋 How to Join Us 💻 LinkedIn Page 📈 Our website 💻 IG Page By submitting application, I've read and agree to the Dev.Pro Private Policy and Consent on Processing of Personal Data. I agree to have my Personal Data being stored and processed by Dev.Pro.

Posted Nov 2, 2026