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.

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