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You will work on the core of our products, the Natural Language Processing & Generation components. You will develop, implement, evaluate and document user-centered systems with Machine Learning / Deep Learning methodologies. Furthermore, you may integrate, test, and do research on software components that you helped develop or were shipped by our partners.

What you will be doing
– Work on all parts of the NLP & NLG pipeline, incl. data preparation, learning & inference for speech-to-text, intent recognition, named entity recognition and dialogue engineering
– Develop requirements and solutions for novel voice user interfaces
– Deliver excellent, production-ready code to our system following coding principles, such as clean code (incl. test-driven development, thorough documentation)
– Deploy in Cloud (AWS), Docker containers in a Microservice environment

– Master’s degree in Computer Linguistics, Computer Science, Mathematics or similar
– Experience in speech & natural language processing tasks based on both traditional hybrid and recent end-to-end (Deep Learning) approaches
– Excellent Python skills and experience in frameworks such as scikit-learn, Kaldi, TensorFlow, PyTorch, Keras, pandas, SciPp
– Solid understanding of dialogue systems
– Excellent written and oral communication skills in Bangla & English
– Experience in Agile/Scrum project methodologies.
– High responsibility and team-oriented work attitude in an agile environment

Good to Have
Knowledge in the following development technologies will be appreciated:
– Audio signal processing
– Deploying Docker containers for Microservice environments
– Linux
– Versioning (Git)
– Additional languages (e.g. Japanese)

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