Dev.Pro

Principal AI Engineer – Video Analytics, C#, Python

Dev.Pro

full-time

Posted on:

Location Type: Remote

Location: Brazil

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About the role

  • 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
  • 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
  • Collaborate on dataset curation, labeling, model training, validation, and experiment tracking
  • Support containerized deployments (Docker) and assist with monitoring and scaling production workload

Requirements

  • 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
  • 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonGPU-accelerated video analyticsobject detectionYOLOOpenCVPyTorchasync I/O frameworksTensorRTCUDAvideo inference pipelines
Soft Skills
collaborationcommunicationproblem-solvingteamworkeffective communication