NLP/MLL Software Development Expert

2 weeks ago

Bhavnagar, Gujarat, India beBeeNlp Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Description

We are seeking a highly skilled and experienced NLP/LLM Engineer to join our team. As an NLP/LLM Engineer, you will design production-ready NLP pipelines, fine-tune open-source LLMs, and integrate LLMs into real-time products.

Key responsibilities include designing and implementing NLP pipelines for classification, named entity recognition, summarization, sentiment analysis, and question answering. You will also preprocess and structure large-scale textual datasets using SpaCy, NLTK, or custom tokenizers, fine-tune and optimize open-source models using Hugging Face Transformers, and integrate LLM APIs into real-time applications and microservices.

Additionally, you will develop prompt strategies and evaluate prompt robustness, implement few/zero-shot approaches where relevant, build retrieval + generation pipelines with vector DBs, deploy model endpoints, containerize with Docker, and collaborate on cloud deployment.

Required Skills and Qualifications
  • 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).
Benefits

As an NLP/LLM Engineer at our company, you will have the opportunity to work with a talented team of engineers and researchers, contribute to the development of cutting-edge AI technologies, and grow your career in a dynamic and supportive environment.

We offer a competitive salary and benefits package, including medical insurance, retirement savings plan, and paid time off.

Others

For senior roles, we require a track record of shipping multiple production LLM/NLP systems end-to-end, strong system design skills, and mentoring/leadership experience and ownership of ML lifecycle (MLOps).

Preferred qualifications include experience with LangChain, LlamaIndex, PromptLayer, or similar LLMOps tooling, RAG workflows, and building retrieval pipelines at scale, and experience in cloud deployment on AWS/GCP/Azure.

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