Multimodal AI Model Developer

1 week ago

Pune, Maharashtra, India beBeeResearch Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Job Opportunity:

A cutting-edge Research Engineer position has opened up to work on pioneering projects involving Multimodal Large Language Models (m-LLMs) and Text-to-Speech (TTS) technologies.

Key Responsibilities:

  • Develop state-of-the-art m-LLMs and generative AI models that process and integrate multiple data modalities, including text, audio, and visual inputs.
  • Design and conduct experiments to test new algorithms, architectures, and fine-tuning techniques for TTS applications and agentic workflows.
  • Stay updated with the latest academic and industry advancements in m-LLMs, TTS, and AI agents to inform ongoing projects.
  • Develop, fine-tune, and evaluate 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.
  • Experiment with novel methods in model training, domain adaptation, and performance evaluation to enhance the naturalness and responsiveness of TTS systems.

Requirements:

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

Preferred Qualifications:

  • Progress toward a Ph.D. in a relevant discipline with a record of publications or patents.
  • Experience in pioneering research in AI, with familiarity in m-LLM frameworks and toolkits.
  • Experience with TTS systems, including speech synthesis and voice conversion technologies.
  • Familiarity with agentic workflows and the integration of AI agents in interactive systems.

Benefits:

This role offers a unique opportunity to engage in pioneering research and development of AI solutions that integrate various data modalities and enhance interactive systems.

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