NLP Researcher

1 day ago

India beBeeArtificial Full time US$ 20,00,000 - US$ 25,00,000

Job Title:

">Achieving Innovation through Large Language Models

In this challenging and rewarding role, you will develop and optimize domain-specific large language models (LLMs) to address unique challenges and deliver innovative solutions.

  • You will conduct cutting-edge research in the field of NLP, developing advanced SLMs and LLMs tailored to domain-specific applications.
  • Design, implement, and optimize language models to solve complex problems effectively and efficiently.
  • 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, iterating on improvements.
  • Develop methods that extend and improve model capabilities, reliability, and safety.
  • Collaborate with cross-functional teams to integrate language models into production.
  • Publish research findings in top-tier conferences and journals, communicating results to technical and non-technical stakeholders.
  • Stay up-to-date with the latest advancements in NLP, ML, and AI, applying relevant techniques to ongoing projects.

Key Qualifications:

">
  1. Ph.D. in Computer Science, Computational Linguistics, Data Science, Artificial Intelligence, or a related field with a focus on NLP or ML.
  2. Bachelor's or Master's degree in Computer Science, Computer Engineering, or a relevant technical field.
  3. 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).
  4. Familiarity with various fine-tuning techniques like full fine-tuning, PEFT techniques like LoRA, QLoRA, and the strategy to adopt for various objectives.
  5. Solid understanding of ML and RL software engineering and scientific research skills.
  6. Proven experience in Gen AI libraries/frameworks, including but not limited to LangChain, LangGraph, LlamaIndex, and LangSmith.
  7. 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.
  8. Proficiency in programming languages such as Python, and experience with NLP/ML frameworks like TensorFlow, PyTorch, and Hugging Face.
  9. Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and experience deploying AI models on these platforms is a plus.
  10. Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to diverse audiences.

Why Join Our Team?

">

This role offers an exciting opportunity to work at the forefront of NLP and AI, driving innovation and advancing our understanding of complex problems.

We are committed to creating a positive and productive work environment, fostering collaboration and knowledge-sharing among team members.

Your contributions will have a direct impact on our mission to leverage AI for societal benefit.

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