Multimodal Language Model Developer

6 days ago

Gandhinagar, Gujarat, India beBeeArtificialIntelligence Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Job Opportunity:

">
  • About the Role:">
    • We are seeking a talented AI Research Engineer to join our team.">
  • Responsibilities:">
    • Research & Development:">
      • Develop state-of-the-art multimodal large language models (m-LLMs) and generative AI models that process and integrate multiple data modalities.">
      • Design and conduct experiments to test new algorithms, architectures, and fine-tuning techniques for text-to-speech (TTS) applications and agentic workflows.">
      • Stay updated with the latest academic and industry advancements in m-LLMs, TTS, and AI agents.">
    • Model Design & Optimization:">
      • Develop, fine-tune, and evaluate AI models for complex natural language processing (NLP) tasks, focusing on TTS and multimodal integration.">
      • Optimize models for scalability, efficiency, and deployment in real-world production systems.">
      • Experiment with novel methods in model training, domain adaptation, and performance evaluation to enhance the naturalness and responsiveness of TTS systems.">
    • Collaboration & Learning:">
      • Work closely with cross-functional teams to translate research insights into tangible products.">
      • Engage in a culture of learning and innovation, contributing to team knowledge sharing on m-LLMs, TTS, and AI agents.">
      ">
    ">

Requirements:

">
  • Education:">
    • 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 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.">
  • Professional Skills:">
    • Ability to develop and deploy machine learning models in practical environments.">
    • Strong analytical and problem-solving skills, with the capacity to work both independently and collaboratively.">
    • Effective written and verbal communication skills for articulating research concepts.">
    ">
"],

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