Job Responsibilities :

Designs and implements AI components for in-game event recognition, multimodal learning, and model optimization. Develops CV and audio processing pipelines for automated dataset generation and labeling. Collaborates on training workflows for the top 100, 500, and 3000 games. Builds the video decluttering pipeline to filter irrelevant gameplay segments. Works closely with the Lead Engineer on model deployment optimization and SDK integration. Implements and maintains C++ modules for data acquisition, inference, and model serving. Focused on performance tuning and inference latency reduction for on-device intelligence.

Mission:
Develop and optimize AI components for multimodal in-game event recognition, video dataset generation, and model deployment.

Build AI modules for CV/audio-based in-game event detection.

Implement data preprocessing and feature extraction pipelines.

Train, validate, and deploy models ...