Build NLP-based products leveraging the state of the art techniques and open source libraries including conversational AI models and deep learning-based approaches.
Work cross-functionally with scientists, engineers,
product specialists to build complete
machine learning systems.
Define metrics and conduct experiments to evaluate algorithms in production.
Scale and improve performance of Natural Language systems in production
2+ years of experience years relevant professional experience in Natural Language Understanding, Deep Learning, Open Domain Question Answering, Text Classification, Information Retrieval, or Knowledge Extraction
Experience with deep learning-based NLP models such as BERT, OpenAI GPT, other transformers
Experience building production-ready NLP systems, from preprocessing and normalization to model drift monitoring in production
environments.
Proficiency with machine learning techniques, tools, and frameworks like Keras, TensorFlow, Pytorch
Strong programming skills in Python, Kotlin and/or C++
