Associate NLP engineer

5 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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