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Research Scientist for Advanced AI Systems

2 weeks ago

Pune, Maharashtra, India beBeeArtificial Full time ₹ 20,00,000 - ₹ 25,00,000

Role Overview:

We seek a dedicated and innovative Research Engineer with expertise in Multimodal Large Language Models (m-LLMs) and Text-to-Speech (TTS) technologies to contribute to pioneering projects.

Key Responsibilities:

  • Research & Development:
  • Develop state-of-the-art m-LLMs and generative AI models that 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.
  • Model Design & Optimization:
  • 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.
  • 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 that utilize m-LLMs and TTS technologies within agentic workflows.
  • Engage in a culture of learning and innovation, contributing to team knowledge sharing on m-LLMs, TTS, and AI agents.
  • Collaborate with external research communities, potentially contributing to conferences and publications in the fields of m-LLMs, TTS, and agentic AI systems.

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 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, with a focus on TTS applications and agentic workflows.
  • 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 to diverse audiences.

Preferred Qualifications:

  • Advanced Research Experience:
  • 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 (e.g., Hugging Face Transformers).
  • Specialized Skills:
  • Experience with TTS systems, including speech synthesis and voice conversion technologies.
  • Familiarity with agentic workflows and the integration of AI agents in interactive systems.
  • Experience with distributed systems and scalable model deployment in cloud environments.