AI Large Language Model Specialist

1 day ago

India beBeeAIENGINEER Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Research Opportunity:

We are seeking a highly skilled Research Engineer to engage in cutting-edge research and development of AI solutions that integrate various data modalities.

Main Responsibilities:

  • Multimodal Research:
  • Develop state-of-the-art LARGE LANGUAGE MODELS 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 TEXT-TO-SPEECH applications and agentic workflows.
  • Stay updated with the latest academic and industry advancements in LARGE LANGUAGE MODELS, TEXT-TO-SPEECH, and AI agents to inform ongoing projects.
  • Model Development & Optimization:
  • Participate in developing, fine-tuning, and evaluating AI models for complex NATURAL LANGUAGE PROCESSING tasks, with a focus on TEXT-TO-SPEECH 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 TEXT-TO-SPEECH systems.
  • Collaboration & Knowledge Sharing:
  • Work closely with cross-functional teams, including product, engineering, and data science, to translate research insights into tangible products that utilize large language models and TEXT-TO-SPEECH technologies within agentic workflows.
  • Engage in a culture of learning and innovation, contributing to team knowledge sharing on large language models, TEXT-TO-SPEECH, and AI agents.
  • Collaborate with external research communities, potentially contributing to conferences and publications in the fields of large language models, TEXT-TO-SPEECH, and agentic AI systems.

Required Skills & Qualifications:

  • Educational Background: Currently pursuing an advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, Natural Language Processing, or a closely related field.
  • Technical Expertise: Experience or coursework in large language models, deep learning, Natural Language Processing, and TEXT-TO-SPEECH 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 large language models and TEXT-TO-SPEECH systems.
  • Professional Skills: Ability to develop and deploy machine learning models in practical environments, with a focus on TEXT-TO-SPEECH 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 large language model frameworks and toolkits (e.g., Hugging Face Transformers).
  • Specialized Skills: Experience with TEXT-TO-SPEECH 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.

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