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

Dev.Pro; United States; Remote; USD 140,000 - 200,000; Full time

Benefits offered by this job

Remote-first company

Multicultural collaboration

Hands-on GPU vision projects

Job summary

Dev.Pro, a US-based software development company, is seeking an AI Engineer to build GPU-accelerated video analytics for real-time safety monitoring. You will design and optimize pipelines for high-volume streams, collaborating with engineering and product teams to deliver reliable, high-performance solutions.

You’ll work on a technically challenging computer vision project with emphasis on PyTorch, OpenCV, and real-time inference. The role is remote-first with international collaboration.

Qualifications

• 7+ years of software engineering experience with strong backend skills.
• 3+ years of experience shipping computer vision solutions to production.
• Strong Python proficiency and solid knowledge of CV frameworks.

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

Backend development

Computer vision

Video analytics

English communication

Tools

OpenCV

PyTorch

TensorRT

CUDA

Docker

Azure Event Hub

Blob Storage

ONNX

Job description

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