Natural Language Processing Specialist

Job Title: Natural Language Processing Specialist

We are seeking a highly skilled Natural Language Processing (NLP) specialist to join our team. As an NLP specialist, you will be responsible for designing and implementing production-ready NLP pipelines, fine-tuning open-source LLMs, and integrating them into real-time products.

Key Responsibilities:

• NLP Pipeline Development: Design and implement NLP pipelines for classification, named entity recognition (NER), summarization, sentiment analysis, and question answering (Q&A)
• Data Preprocessing: Preprocess and structure large-scale textual datasets using popular libraries such as SpaCy, NLTK, or custom tokenizers
• Model Fine-Tuning: Fine-tune and optimize open-source models (BERT, T5, GPT-style) using Hugging Face Transformers
• LLM Integration: Integrate LLM APIs (OpenAI, Anthropic/Claude, Cohere, Hugging Face) into real-time applications and microservices
• Prompt Engineering: Develop prompt strategies and evaluate prompt robustness; implement few/zero-shot approaches where relevant
• RAG Pipelines: Build retrieval + generation (RAG) pipelines with vector DBs (FAISS, Weaviate, Pinecone)
• Model Deployment: Deploy model endpoints (Flask/FastAPI/Streamlit), containerize with Docker, and collaborate on cloud deployment
• Model Monitoring: Monitor model performance, data drift, and user feedback; iterate based on metrics and qualitative signals
• Collaboration: Collaborate with product, infra, and QA to embed models safely and responsibly

Required Skills and Qualifications:

• Programming Skills: Strong Python skills and experience with SpaCy, Transformers (Hugging Face), and NLTK
• Model Training: Hands-on experience fine-tuning/training Transformer models (BERT, T5, GPT variants)
• LLM Integration: Experience integrating LLM APIs and working with prompt engineering
• Vector Similarity: Familiarity with embeddings, attention, tokenization, and vector similarity (cosine)
• Vector DBs: Experience with vector DBs such as FAISS, Weaviate, or Pinecone
• Docker and Git: Comfortable with Docker, Git, and REST API development (Flask/FastAPI)
• Evaluation Metrics: Practical knowledge of evaluation metrics (BLEU, ROUGE, perplexity, cosine similarity)

Preferred Qualifications:

• Leadership Experience: Track record of shipping multiple production LLM/NLP systems end-to-end
• System Design: Strong system design skills (latency/cost tradeoffs, multi-tenant inference)
• MLOps: Mentoring/leadership experience and ownership of ML lifecycle (MLOps)

About Us:

We are a leading matchmaking and wedding services company with a strong presence in the Indian market. Our flagship brand is the largest and most trusted matrimony brand, spanning customers across the entire economic strata. We serve over 6 million members with the support of 3,000+ associates and a network of 125+ company-owned retail outlets.

New Initiatives:

• Matchmaking Services: Offer a range of matchmaking services including BharatMatrimony, Jodii, Assisted Service, and EliteMatrimony
• Wedding Services: Provide wedding services including Wedding Bazaar, Mandap.com, and MakeMyWedding
• New Verticals: Explore new verticals including MatchAstro, ManyJobs, WeddingLoan.com, and Luv.com

International Presence:

We have successfully expanded into international markets, with UAE operations thriving for 5+ years and Bangladesh operations commencing in 2021. Our mission is to dominate the $100 billion wedding services industry.