Deep Learning Engineer

5 days ago

Bikaner, Rajasthan, India beBeeNlpEngineer Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Title: NLP/ML Engineer

Job Description

We are seeking a skilled NLP/Machine Learning engineer to design and implement production-ready NLP pipelines, fine-tune open-source models, and integrate them into real-time applications. As an NLP/Machine Learning engineer at our company, you will work with product teams to build classification, Named Entity Recognition (NER), summarization, sentiment analysis, and Question Answering (QA) systems from data preprocessing to deployment and monitoring.

Responsibilities
  • Design and implement NLP pipelines for classification, NER, summarization, sentiment analysis, and QA.
  • 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).
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.

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