Computer Vision Engineer (Video Analytics, Python) - OP02259-OS
TypeContract
LocationAnguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas
Posted1 hour ago
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.
Originally posted on Himalayas
🟢 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.
Originally posted on Himalayas
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