Senior NLP Engineer

1 month ago


Bengaluru, Karnataka, India GNANI INNOVATIONS PRIVATE LIMITED Full time

**Job Overview**

We are seeking a highly skilled Senior NLP Engineer to lead the development of multilingual voice bots and chatbots at GNANI INNOVATIONS PRIVATE LIMITED.

The ideal candidate will possess expertise in fine-tuning large language models (LLMs) for multiple languages, with a strong background in pretraining and continual pretraining.

**Responsibilities**

  • Develop intelligent voice bots and chatbots that leverage advanced NLP techniques to enhance user interaction across multiple languages.
  • Enhance existing LLMs to support multiple languages through effective training strategies and data augmentation.
  • Fine-tune LLMs using Parameter Efficient Fine-Tuning (PEFT) methods, particularly Low-Rank Adaptation (LoRA), to efficiently adapt large language models for specific applications while minimizing computational costs.
  • Implement Retrieval-Augmented Generation (RAG) systems that provide contextual information to enhance the performance of NLP applications in various languages.
  • Deploy scalable and efficient NLP models using serving mechanisms such as VLLM and Sglang.
  • Leverage vector databases for efficient storage and retrieval of embeddings to improve model performance.

**Requirements**

  • Minimum 5 years of experience in NLP or related fields, with a focus on voice bot and chatbot development.
  • Proficiency in Python programming and experience with PyTorch.
  • Experience with huggingface, spacy, transformers, and other NLP Libraries.
  • Strong understanding of LLM fine-tuning techniques, particularly PEFT and LoRA.
  • Experience with vector databases, LLamaIndex, CrewAI, Langchain, and Langsmith.
  • Hands-on experience with RAG-based applications and LLM technologies.
  • Familiarity with serving mechanisms like VLLM and Sglang.
  • Proficiency in conversational AI technologies such as LLM function calling, information retrieval, vector databases, embedding models, and autonomous agents.
  • Skills in data preprocessing and ETL processes for training datasets.
  • Knowledge of ML algorithms and evaluation metrics.
  • Proficient in Git and experience with Agile project management tools.
  • CUDA Programming and Experience.
  • Docker and Kubernetes.

**Estimated Salary:** $120,000 - $180,000 per year.


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