Natural Language Processing Specialist

1 week ago

Gulbarga, Karnataka, India beBeeNlpEngineer Full time ₹ 1,80,00,000 - ₹ 2,00,00,000
Job Overview

We're seeking a talented NLP/LLM Engineer to design and implement production-ready NLP pipelines, fine-tune open-source LLMs, and integrate them into real-time applications.

Key Responsibilities:

  • Design and implement NLP pipelines for classification, named entity recognition (NER), summarization, sentiment analysis, and question answering (RAG).
  • Preprocess and structure large-scale textual datasets using SpaCy, NLTK, or custom tokenizers.
  • Fine-tune and optimize open-source models (BERT, T5, GPT-style) using Hugging Face Transformers.
  • Integrate Large Language Model (LLM) APIs into real-time applications and microservices.
  • Develop prompt strategies and evaluate prompt robustness; implement few/zero-shot approaches where relevant.
  • Build retrieval + generation (RAG) pipelines with vector databases (FAISS, Weaviate, Pinecone).
  • Deploy model endpoints, containerize with Docker, and collaborate on cloud deployment.
  • Monitor model performance, data drift, and user feedback; iterate based on metrics and qualitative signals.

Requirements:

  • Strong Python skills and experience with SpaCy, Transformers (Hugging Face), and NLTK.
  • Hands-on experience fine-tuning/training Transformer models (BERT, T5, GPT variants).
  • Experience integrating LLM APIs and working with prompt engineering.
  • Familiarity with embeddings, attention, tokenization, and vector similarity (cosine).
  • Experience with vector databases such as FAISS, Weaviate, or Pinecone.
  • Comfortable with Docker, Git, and REST API development (Flask/FastAPI).
  • Practical knowledge of evaluation metrics (BLEU, ROUGE, perplexity, cosine similarity).
What You'll Need

To excel in this role, you'll need strong technical skills, including experience with Python, SpaCy, and Hugging Face Transformers.

Additionally, you should be comfortable working with large datasets, deploying models to the cloud, and monitoring their performance.

Our ideal candidate will have a passion for natural language processing and machine learning, and will be excited about the opportunity to contribute to our team's success.

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