
NLP Systems Engineer
17 hours ago
The successful candidate will be responsible for leading the development of advanced NLP pipelines and integrating them into real-time products. This role requires a strong background in NLP and AI, with expertise in designing and implementing production-ready NLP systems.
- NLP Pipeline Design: Develop and implement robust NLP pipelines for classification, named entity recognition (NER), summarization, sentiment analysis, and question answering (QA).
- Model Integration: Integrate pre-trained models such as BERT and T5 into real-time applications using APIs from providers like OpenAI and Cohere.
- Prompt Engineering: Develop prompt strategies to improve model performance and evaluate their effectiveness.
A key aspect of this role is collaboration with cross-functional teams to embed models safely and responsibly. The ideal candidate will have hands-on experience with SpaCy, Transformers, and NLTK, as well as experience with vector similarity and vector DBs.
Requirements- Python Skills: Strong Python skills and experience with popular libraries including SpaCy, Transformers, and NLTK.
- Transformer Models: Hands-on experience fine-tuning/training Transformer models such as BERT and T5.
- Vector Similarity: Familiarity with embeddings, attention, tokenization, and vector similarity metrics such as cosine similarity.
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AI Systems Developer
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Senior AI/ML Engineer
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Electrical Systems Engineer
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Artificial Intelligence Engineer
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