Computer Vision Engineer (Video Analytics, Python)

Location: Remote; new opportunities in Latin America. Work is performed remotely through an independent contractor arrangement.

Company

hirify.global is a US-based software development company helping technology companies build products and grow their businesses.

What you will do

• Develop and optimize GPU-accelerated video inference pipelines for real-time processing.
• Implement, evaluate, and improve YOLO or similar object detection models.
• Build temporal smoothing and tracking logic for safety event detection across video streams.
• Optimize inference with TensorRT, ONNX, CUDA, batching, quantization, and GPU profiling.
• Build integrations with event-driven APIs, Azure Event Hub, Blob Storage, and internal services.
• Add metrics, logging, telemetry, fail-safe mechanisms, containerized deployments, monitoring, and scaling for production workloads.

Requirements

• 7+ years of software engineering experience, including strong backend skills, and 3+ years shipping computer vision solutions to production.
• Strong Python proficiency and experience with OpenCV, PyTorch, asynchronous 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 optimizing GPU inference through batching, stride, TensorRT, CUDA, quantization, and throughput tuning.
• Ability to communicate and collaborate effectively with engineering and product teams.
• Upper-Intermediate+ English level required.

Nice to have

• Experience with Azure Event Hub, Blob Storage, Application Insights, or similar services.
• Familiarity with Docker, cloud deployments, and production monitoring systems.
• Experience in temporal or sequence analysis for event detection.
• Experience with video analytics in safety, compliance, industrial, or transportation environments.

Culture & Benefits

• Remote-first environment with independent contractors working across more than 55 countries.
• Collaboration with engineers and product teams in a multicultural environment.
• Opportunity to work on technically challenging computer vision systems that improve safety across large fleets and industrial operations.
• Hands-on work with GPU-accelerated video analytics, temporal tracking, and real-time safety monitoring.

Hiring process

• Submit a CV in English.
• Complete an introductory call with a recruiter, followed by an interview.
• Sign the contract after successful completion of the process.