Associate NLP engineer

7 days ago

bangalore, India gnani.ai Full time
We are seeking a Associate NLP Engineer with a foundational background in developing multilingual voice bots and chatbots. The ideal candidate will have a basic understanding of pretraining and continual pretraining of large language models (LLMs) for multiple languages. Familiarity with fine-tuning LLMs using Parameter Efficient Fine-Tuning (PEFT) techniques, including Low-Rank Adaptation (LoRA), is a plus. Additionally, experience with serving mechanisms such as VLLM and Sglang, along with exposure to vector databases, LLamaIndex, CrewAI, Langchain, and Langsmith, is desirable.
Responsibilities
Assist in Developing Multilingual Voice and Chatbot Solutions : Support the design and implementation of intelligent voice bots and chatbots that enhance user interaction across multiple languages.
Learn to Extend LLM Capabilities : Help enhance existing LLMs to support multiple languages through effective training strategies and data augmentation.
Participate in Fine-Tuning LLMs : Utilize PEFT methods, particularly LoRA, to assist in fine-tuning large language models for specific applications.
Support Retrieval-Augmented Generation (RAG) : Contribute to the development of RAG systems that provide contextual information to improve the performance of NLP applications.
Assist in Model Deployment : Help implement serving mechanisms such as VLLM and Sglang to ensure scalable deployment of NLP models.
Utilize Vector Databases : Gain experience in leveraging vector databases for efficient storage and retrieval of embeddings.
Collaborate with Cross-Functional Teams : Work closely with product managers, data scientists, and software engineers to integrate NLP solutions into existing platforms.
Stay Updated on NLP Trends : Keep abreast of advancements in NLP, voice technologies, and machine learning.
Requirements
Experience : Minimum 3 years of experience in NLP or related fields, with a focus on voice bot and chatbot development.
Technical Skills :
1.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.
Education
A degree in Computer Science, Data Science, Computational Linguistics, or a related field is preferred.
Analytical Skills
Strong problem-solving abilities with a focus on innovative solutions in NLP applications.
Communication Skills
Excellent verbal and written communication skills to effectively convey technical concepts.
Preferred Qualifications
Experience working with LLMs and fine-tuning using DPO, PPO, or PEFT techniques is a plus.
If you are passionate about advancing the field of NLP through innovative technologies and eager to learn about model fine-tuning techniques across multiple languages, we invite you to apply and join our dynamic team

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