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Acapela Group Demo
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The User of this demo undertakes to use the demo in accordance with customs and standard practices. the User shall ensure that the demo will not be used to create prompts which are unlawful, harmful, threatening, abusive, harassing, tortuous, defamatory, vulgar, obscene, libellous, invasive of another's privacy, hateful, or racially, ethnically or otherwise objectionable.

Join our team !

Voice First interfaces are reinventing the way we engage with devices. The challenge is great, help us meet this disruptive change, join our team.

ASR (Language Modelling) – NLU – Voice Assistant Technology development

Full time
Mons, Belgium
picto calendrier ASAP
Acapela is looking for people to join our engineering team who are passionate about developing Machine Learning /AI in NLP/ASR domains.

Member of the technical team that has the mission to develop speech technologies (TTS, Speech recognition, Natural Language Understanding), your first tasks will be dedicated to Language models optimization and adaptation on high level automotive platforms. You will then work on NLU technology and include your work in a complete Voice Assistant product in the automotive domain.


  • Development/training of new algorithms for a voice bot assistant (Language Modelling; NLU)
  • Improvement of existing modules/products (LM) + creation of new ones (NLU)
  • Integration of third party modules (other partners modules need to communicate with our systems).
  • Project Management is also a part of the job, taking care of the requests from the partners. Meetings for planning; presentation of the work
  • Integration in the final system and adaptation for demonstration sessions


Required Skills

  • A degree (BSc or MSc) in computer science
  • Experience : 0 – 5 Years
  • C and C++ expertise
  • Python (Fluency in Python with advanced skills in (Pandas, NumPy) and
    familiarity with (Pytorch/Keras))
  • Machine Learning, Numpy/Scipy, NLP, PyTorch ; KenLM …
  • Working knowledge of Windows and Linux (Comfortable working in Linux environment)
  • Experience manipulating and managing large amounts of data
  • Fluent in English
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