
AI Systems Developer
2 days ago
We're seeking an experienced Artificial Intelligence Specialist to design and implement cutting-edge NLP pipelines for classification, named entity recognition, summarization, sentiment analysis, and question-answering systems.
This role requires strong Python skills and experience with SpaCy, NLTK, and Hugging Face Transformers. The successful candidate will fine-tune and optimize open-source models, integrate LLM APIs into real-time applications, and collaborate on cloud deployment.
Key Responsibilities:- NLP Pipeline Design: Develop and implement efficient NLP pipelines using SpaCy, NLTK, or custom tokenizers.
- Model Optimization: Fine-tune and optimize open-source models using Hugging Face Transformers.
- LLM Integration: Integrate large language model APIs 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.
- Deployment: Deploy model endpoints, containerize with Docker, and collaborate on cloud deployment.
- Strong Python programming skills.
- Experience with SpaCy, NLTK, and Hugging Face Transformers.
- Fine-tuning and optimizing open-source models.
- Integrating LLM APIs into real-time applications.
- Knowledge of embeddings, attention, tokenization, and vector similarity.
- Experience with vector DBs such as FAISS, Weaviate, or Pinecone.
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