Remote Computer Vision Engineer - Real-Time Video Analytics

Dev PRO; Bogotá; Remote; COP 389,395,000 - 519,194,000; Full time

Job summary

Dev.Pro, a US-based software development company, is hiring an AI Engineer to build GPU-accelerated video analytics for real-time safety monitoring across large fleets. You will design and optimize pipelines to detect and track events in high-volume streams, collaborating with engineering and product teams to deliver reliable, high-performance systems.

You will work with OpenCV, PyTorch, YOLO and TensorRT, implementing efficient inference, temporal tracking, and scalable deployments in a

Qualifications

• 7+ years of software engineering experience with backend focus.
• 3+ years 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.

Responsibilities

• 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.

Skills

Python

OpenCV

PyTorch

Async I/O

API integrations

YOLO/Ultralytics

Video analytics

TensorRT/CUDA

English comms

Tools

Docker

Azure Event Hub

Blob Storage

Application Insights

ONNX

Job description

Dev.Pro, a US-based software development company, is hiring an AI Engineer to build GPU-accelerated video analytics for real-time safety monitoring across large fleets. You will design and optimize pipelines to detect and track events in high-volume streams, collaborating with engineering and product teams to deliver reliable, high-performance systems.

You will work with OpenCV, PyTorch, YOLO and TensorRT, implementing efficient inference, temporal tracking, and scalable deployments in a