Multimodal AI Engineer

1 week ago

Anantapur, Andhra Pradesh, India beBeeResearch Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

AI Researcher Role

We are seeking a highly skilled researcher to join our team in the development of Multimodal Large Language Models (m-LLMs) and Text-to-Speech (TTS) technologies. The ideal candidate will have a strong background in Artificial Intelligence, Natural Language Processing, and Deep Learning.

Responsibilities:

  • Design and develop state-of-the-art m-LLMs and generative AI models that process and integrate multiple data modalities, including text, audio, and visual inputs.
  • Conduct experiments to test new algorithms, architectures, and fine-tuning techniques for TTS applications and agentic workflows.
  • Stay updated with the latest advancements in m-LLMs, TTS, and AI agents to inform ongoing projects.
  • Participate in developing, fine-tuning, and evaluating AI models for complex NLP tasks, with a focus on TTS and multimodal integration.
  • Optimize models for scalability, efficiency, and deployment in real-world production systems, ensuring seamless interaction between components in agentic workflows.

Required Qualifications:

  • Educational Background: Currently pursuing an advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, NLP, or a closely related field.
  • Technical Expertise: Experience or coursework in large language models, deep learning, NLP, and TTS technologies.
  • Proficiency: Proficiency in programming languages such as Python, with experience in frameworks like TensorFlow or PyTorch.
  • Understanding: Understanding of algorithm design, data structures, and model optimization techniques relevant to m-LLMs and TTS systems.

Preferred Qualifications:

  • Advanced Research Experience: Progress toward a Ph.D. in a relevant discipline with a record of publications or patents.
  • Experience: Experience in pioneering research in AI, with familiarity in m-LLM frameworks and toolkits (e.g., Hugging Face Transformers).
  • Specialized Skills: Experience with TTS systems, including speech synthesis and voice conversion technologies.

Benefits:

The successful candidate will be part of a dynamic team working on cutting-edge projects in AI and NLP. Opportunities for professional growth and development, collaboration with industry leaders, and contribution to innovative research will be available.

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