DEEP MULTIMODAL SEMANTIC EMBEDDINGS FOR SPEECH AND IMAGES

I'm looking for a skilled professional with deep expertise in AI, particularly in the development of multimodal semantic embeddings. The goal of this project is to create an AI system that not only understands the meaning of both speech and images but also can interact bidirectionally between these two data types. The ideal developer should have extensive experience working with TensorFlow and a solid understanding of AI principles, specifically in relation to speech and image recognition.

Key Requirements:
- Development of an AI system capable of understanding both speech and image data
- Integration of bidirectional interaction capabilities between speech and images
- Extensive experience with TensorFlow for AI model development
- Proficiency in working with multimodal semantic embeddings

Ideal Skills and Experience:
- Proven track record in developing AI systems focusing on speech and image recognition
- Strong understanding of deep learning principles and their application to multimodal data
- Prior experience in developing bidirectional interaction between different data types
- Ability to create and implement complex AI algorithms within TensorFlow
- Experience with multimodal semantic embeddings will be a major advantage.