Natural Language Processing (NLP) expert with focus on Cutting - edge NLX (NLP/NLU/NLG) Models You will work on the frontier of Machine Learning and craft Transformer based NLP/NLU/NLG models based on the latest research and open-source.
Responsibilities you would expect the Subcon to shoulder and execute*:
Reading and researching state-of-the-art papers in NLP/NLU/NLG problems
Find and/or design appropriate NLX models for a given problems.
Inventing new NLX algorithms
Implement, train and tune custom NLX models.
Build preprocessing pipelines.
Nice To Have:
Hands on experience with Transformers
5+ years experience of having worked in a related field.
University degree in Computer Science, Math or comparable qualification (MS or PhD preferred).
Expert in Python and at least one DL framework (e.g. Tensorflow, PyTorch or Keras)
Expert in ML / DL / NLP methods and recent model architectures (e.g. LSTM, CNN, etc)
Familiarity with Distributed systems (Docker, Kubernetes, Kafka, Spark/Scala, AWS, MongoDB, HIVE) is a plus
You do not only understand the above methods "in theory", but also know how to implement them efficiently.
You like to innovate and can evaluate various options/ideas quickly by prototyping or by analytical assessment.
You enjoy reading latest ML papers and presenting what you learn to the team.
You stay up-to-date with relevant trends in the field.
Experience with Git, Docker and production-ready ML.
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