Principal AI Engineer (Video Analytics: C#, Python)

TL;DR

Principal AI Engineer (Video Analytics: C#, Python): Building GPU-accelerated video analytics for real-time safety monitoring across large fleets and industrial environments with an accent on pipelines that detect and track actionable safety events in high-volume video streams. Focus on optimizing GPU inference, implementing temporal tracking and smoothing logic, and ensuring resilient production deployments.

Location: Remote from Latin America

Company

Outsourcing company developing innovative computer vision solutions for safety monitoring in industrial and fleet operations.

What you will do

• Develop and optimize GPU-accelerated video inference pipelines for real-time processing
• Implement, evaluate, and improve object detection models using YOLO or similar
• Build temporal smoothing and tracking logic for safety event detection
• Optimize model performance with TensorRT, ONNX, CUDA, and GPU profiling tools
• Integrate with event-driven APIs, Azure Event Hub, Blob Storage, and internal services
• Add metrics, logging, telemetry, and fail-safe mechanisms for resilient jobs
• Collaborate on dataset curation, labeling, model training, validation, and deployments

Requirements

• Upper-Intermediate+ English level
• 7+ years of software engineering experience with strong backend skills
• 3+ years shipping computer vision solutions to production
• Strong Python proficiency
• Experience with OpenCV, PyTorch, async I/O frameworks, and API integrations
• Hands-on 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, multi-camera aggregation
• Experience with GPU inference optimization (batching, stride, TensorRT, CUDA, quantization, throughput tuning)
• Ability to communicate and collaborate effectively

Nice to have

• Experience with Azure Event Hub, Blob Storage, Application Insights
• Familiarity with Docker, cloud deployments, production monitoring
• Experience in temporal/sequence analysis for event detection
• Experience with video analytics in safety, compliance, industrial/transportation

Culture & Benefits

• Collaborate with top engineers on innovative, technically challenging computer vision projects
• Build impactful systems enhancing safety across large fleets and industrial operations
• Hands-on experience with GPU-accelerated video analytics, temporal tracking, real-time monitoring

Hiring process

• Submit CV in English
• Intro call with Recruiter
• Internal interview
• Client interview
• Offer