
Natural Language Processing Engineer
2 days ago
Job Summary:
We are seeking an experienced Natural Language Processing (NLP) Engineer to design and implement production-ready NLP pipelines, fine-tune open-source Large Language Models (LLMs), and integrate them into real-time applications.
About the Job:
- Design and implement NLP pipelines for classification, named entity recognition (NER), summarization, sentiment analysis, and question answering (Q&A).
- Fine-tune and optimize open-source models using Hugging Face Transformers.
- Integrate LLM APIs into real-time applications and microservices.
- Develop prompt strategies and evaluate prompt robustness; implement few-shot and zero-shot approaches where relevant.
Key Responsibilities:
- Build retrieval + generation (RAG) pipelines with vector databases.
- Deploy model endpoints, 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 popular libraries such as SpaCy and NLTK.
- Hands-on experience fine-tuning/training Transformer models.
- Experience integrating LLM APIs and working with prompt engineering.
- Familiarity with embeddings, attention, tokenization, and vector similarity.
Senior Roles:
- A track record of shipping multiple production LLM/NLP systems end-to-end.
- Strong system design skills and mentoring/leadership experience.
Nice-to-Have:
- Experience with LangChain or similar LLMOps tooling.
- RAG workflows and building retrieval pipelines at scale.
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