AI Engineer

Description

Digitain is looking for a talented AI Engineer specializing in Computer Vision to revolutionize how we monitor and analyze live gaming environments. The ideal candidate will develop high-performance vision systems responsible for tracking human behavior, monitoring live dealer operations, and ensuring game integrity. You will work on challenging problems involving real-time object tracking, pose estimation, and behavior analysis to support both security and user experience in the gambling sector.

Responsibilities

• Develop algorithms for pose estimation and action recognition to track dealer movements and player behaviors in real-time video streams
  
• Build models to accurately detect and track gaming elements (cards, chips, roulette wheels) to automate game scoring and ensure integrity
• Optimize computer vision pipelines for low-latency inference, ensuring immediate feedback for live casino applications
• Oversee the collection and annotation of proprietary datasets specific to the gambling domain to improve model accuracy
• Apply a strong understanding of CNNs and Vision Transformers (ViTs) to choose the best architectures for dynamic environments
• Deploy vision models to edge devices or cloud infrastructure, ensuring high availability and efficient resource usage
  
• Stay updated on the latest CV research to continuously improve detection rates and reduce false positives in fraud detection systems

Requirements

• 3+ years in Computer Vision engineering or related applied research
• Proficiency in Python and C++ (for high-performance inference)
• Strong experience with OpenCV, YOLO (all versions), PyTorch, or TensorFlow
• Experience with video processing libraries (FFmpeg, GStreamer) and inference engines (NVIDIA DeepStream, TensorRT, or ONNX Runtime)
• Understanding of object tracking algorithms (DeepSORT) and human pose estimation (MediaPipe, OpenPose)
• Effective communication skills to explain visual AI limitations and capabilities to product stakeholders.