Computer Vision Engineer (Video Analytics, Python)

About the role

Dev.Pro, a US-based software development company working with independent contractors worldwide, invites a skilled AI Engineer to build GPU-accelerated video analytics for real-time safety monitoring across large fleets and industrial environments. The role involves designing and optimizing pipelines that detect and track safety events in high-volume video streams, working with engineering and product teams.

Key responsibilities

• Develop and maintain backend solutions that process video data and deliver 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
• Integrate with event-driven APIs, Azure Event Hub, Blob Storage and internal services
• Add metrics, logging, telemetry and fail-safe mechanisms for resilient inference jobs
• Help curate datasets, label data, evaluate models and fine-tune or train them as needed
• Support containerized deployments (Docker) and assist with monitoring and scaling production workloads

Required profile

• 7+ years of software engineering experience with strong backend skills
• 3+ years shipping computer vision solutions to production
• Ability to collaborate with engineering and product teams
• Upper-intermediate English

Required skills

• Strong Python, OpenCV, PyTorch, async I/O frameworks and API integrations
• YOLO/Ultralytics or similar object detection frameworks
• Frame sampling, confidence thresholds, temporal filtering and multi-camera aggregation
• GPU inference optimization (batching, stride, TensorRT, CUDA, quantization, throughput tuning)
• Desirable: Azure Event Hub, Blob Storage, Application Insights, Docker, cloud deployments, production monitoring, temporal/sequence analysis, video analytics in safety, compliance or industrial/transportation settings

Application process: submit a CV in English, then an introductory call with a recruiter, followed by an interview and signing of the contract.