NLP/LLM Pipeline Specialist

1 day ago


Vizag, Andhra Pradesh, India beBeeNlpengineer Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Job Title: NLP/LLM Engineer

About the Role

We're hiring a highly skilled NLP/LLM Engineer to join our team and design production-ready NLP pipelines, fine-tune open-source LLMs, and integrate LLMs into real-time products.

You'll work with product teams to build classification, NER, summarization, sentiment, and QA systems - from data preprocessing to deployment and monitoring.

Key Responsibilities
  • Design and implement NLP pipelines for classification, NER, summarization, sentiment analysis, and Q&A (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 LLM APIs (OpenAI, Anthropic/Claude, Cohere, Hugging Face) 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 DBs (FAISS, Weaviate, Pinecone).
  • Deploy model endpoints (Flask/FastAPI/Streamlit), 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 DBs 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).
Sr. Roles Requirements
  • Track record of shipping multiple production LLM/NLP systems end-to-end.
  • Strong system design skills (latency/cost tradeoffs, multi-tenant inference).
  • Mentoring/leadership experience and ownership of ML lifecycle (MLOps).
Preferred Skills
  • Experience with LangChain, LlamaIndex, PromptLayer, or similar LLMOps tooling.
  • RAG workflows and building retrieval pipelines at scale.
  • Experience in cloud deployment on AWS/GCP/Azure.
  • Contributions to open-source projects or research publications.
About Us

We're a leading provider of matchmaking and wedding services, serving over 6 million members across the globe.

Our mission is to dominate the $100 billion wedding services industry.


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