Advanced AI Model Developer

2 days ago

Bengaluru, Karnataka, India beBeeNaturalLanguageProcessing Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Artificial Intelligence Researcher Role

About the Position:

We are seeking a highly skilled researcher to join our research group and contribute to the development and optimization of large language models (LLMs) and small language models (SLMs). The ideal candidate will have expertise in Natural Language Processing (NLP) and be able to design, implement, and optimize language models for domain-specific applications.

Main Responsibilities:

  • Develop advanced SLMs and LLMs tailored to domain-specific challenges and deliver innovative solutions.
  • Analyze and preprocess large datasets to ensure high-quality input for training SLMs and LLMs.
  • Design and evaluate the performance of language models using appropriate metrics and benchmarks, and iterate on improvements.
  • Publish research findings in top-tier conferences and journals, and communicate results to both technical and non-technical stakeholders.
  • Stay up-to-date with the latest advancements in NLP, ML, and AI, and apply relevant techniques to ongoing projects.

Required Skills and Qualifications:

  • Ph.D. in Computer Science, Computational Linguistics, Data Science, Artificial Intelligence, or a related field with a focus on NLP or ML.
  • Bachelor's or Master's degree in Computer Science, Computer Engineering, or a relevant technical field.
  • At least 1 year of experience in developing and optimizing SLMs and LLMs, focusing on foundation model training, supervised fine-tuning, reinforcement learning from human feedback (RLHF).
  • Solid understanding of various fine-tuning techniques like full fine-tuning, PEFT techniques like LoRA, QLoRA, and the strategy to adopt for various objectives.
  • Solid ML and RL software engineering and scientific research skills.
  • Produced novel research related to fine-tuning SLMs/LLMs or improving upon pre-trained SLMs/LLMs.
  • Proven experience in Gen AI libraries/frameworks, including but not limited to LangChain, LangGraph, LlamaIndex, and LangSmith.
  • At least 5 years of research experience in one or more of these areas: NLP, speech, computer vision, multimodal, machine learning, deep learning, or related fields.
  • Proficiency in programming languages such as Python, and experience with NLP/ML frameworks like TensorFlow, PyTorch, and Hugging Face, as evidenced by released code (e.g., on GitHub) or elsewhere.
  • Familiarity with domain-specific applications and the ability to translate domain knowledge into effective language models.
  • Knowledge of Responsible AI practices and compliance with relevant laws is a plus.
  • Industry experience with large-scale data processing, distributed computing, or cloud platforms.
  • Proven understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and experience deploying AI models on these platforms is a plus.
  • Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to diverse audiences.
  • Ability to work collaboratively in a team environment and contribute to a positive and productive work culture.

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