Natural Language Processing Innovator

1 week ago

Rajahmundry, Andhra Pradesh, India beBeeNlpEngineer Full time ₹ 1,80,00,000 - ₹ 2,50,00,000
Job Opportunity

We are seeking an experienced NLP/LLM Engineer to design production-ready NLP pipelines, fine-tune open-source LLMs, and integrate LLMs into real-time products. You will work with product teams to build classification, NER, summarization, sentiment, and QA systems — from data preprocessing to deployment and monitoring.

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.
  • Collaborate with product, infra, and QA to embed models safely and responsibly.

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).

Senior Roles:

  • 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).

Nice to Have:

  • 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:

Our company is a leader in matchmaking and wedding services, serving over 6 million members with the support of 3,000+ associates and a network of 125+ company-owned retail outlets.

Key Offerings:

  • Matchmaking Services: Our flagship brand spans customers across the entire economic strata.
  • Exclusive matchmaking app for non-degree holders in 9 Indian languages.
  • Personalised services for the HNI, NRI and Premium segment of customers.
  • Wedding Services:
  • Largest wedding services provider.
  • Largest online wedding venues platform.
  • Personalized & curated wedding planning services.

New Initiatives:

  • Exclusive astrology app for marriage, love, and relationship.
  • Employment platform targeting grey collar workforce.
  • Fin-tech platform to facilitate wedding loans through a curated set of institutions.
  • Next generation serious relationship app.

International Presence:

We have successfully expanded into international markets, with UAE operations thriving for 5+ years and Bangladesh operations commencing in 2021.

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