Tech Stack

Description

You will conduct research and implement AI-based solutions in computer vision, audio/speech, generative AI, and agentic AI, working on tasks like pose estimation, segmentation, detection, and multi-modal analysis. You'll handle end-to-end development from research to production, including data collection, model performance improvement, and deployment support.

Requirements

• At least 5 years of experience in deep learning development for AI-based algorithms
• Experience in developing production-grade algorithms
• Excellent programming skills in Python
• Experience and theoretical understanding of AI models
• M.Sc. in Computer Science / Electrical Engineering / Mathematics

Responsibilities

• Conduct research and implement AI-based solutions in computer vision, audio/speech, generative AI, and agentic AI
• Work on diverse tasks: computer vision (pose estimation, segmentation, detection), agentic AI, GenAI, multi-modality (video + sound), sound analysis
• End-to-end development from research to production-grade model and system
• Perform data collection and analysis, literature review, research POC, error analysis, improve performance and reduce computation cost
• Collaborate with AI-Backend and Data Annotation teams