Multilingual NLP Engineer

4 weeks ago

Bengaluru, Karnataka, India gnani Full time

We are seeking a highly skilled Multilingual NLP Engineer to join our team at gnani. As a key member of our NLP team, you will be responsible for developing and implementing intelligent voice bots and chatbots that enhance user interaction across multiple languages.

Key Responsibilities:

  • Assist in developing multilingual voice and chatbot solutions that meet the needs of our diverse user base.
  • Learn to extend the capabilities of large language models (LLMs) to support multiple languages through effective training strategies and data augmentation.
  • Participate in fine-tuning LLMs using Parameter Efficient Fine-Tuning (PEFT) techniques, including Low-Rank Adaptation (LoRA).
  • Support the development of Retrieval-Augmented Generation (RAG) systems that provide contextual information to improve the performance of NLP applications.
  • Assist in model deployment and implementation of serving mechanisms such as VLLM and Sglang to ensure scalable deployment of NLP models.
  • Utilize vector databases for efficient storage and retrieval of embeddings.
  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers, to integrate NLP solutions into existing platforms.

Requirements:

  • Minimum 3 years of experience in NLP or related fields, with a focus on voice bot and chatbot development.
  • Proficiency in Python programming and familiarity with libraries like PyTorch.
  • Basic experience with Hugging Face, SpaCy, Transformers, or other NLP libraries.
  • Understanding of LLM fine-tuning techniques is a plus.
  • Familiarity with serving mechanisms like VLLM and Sglang is desirable.
  • Exposure to vector databases, LLamaIndex, CrewAI, Langchain, and Langsmith is beneficial.
  • Basic knowledge of ML algorithms and evaluation metrics.
  • Familiarity with Git and Agile project management tools is a plus.

Preferred Qualifications:

  • Experience working with LLMs and fine-tuning using DPO, PPO, or PEFT techniques is a plus.

We are looking for a talented NLP engineer who is passionate about advancing the field of NLP through innovative technologies and eager to learn about model fine-tuning techniques across multiple languages. If you are a motivated and detail-oriented individual with a strong background in NLP, we encourage you to apply for this exciting opportunity.

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