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Detailed Job Description:
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.