close
address. Gaston Geenslaan 11 B4, 3001 Leuven
s.
Careers

ML/NLP Engineer

location: Leuven

We seek a highly motivated Machine Learning and Natural Language Processing expert to join our team. Sounds like this could be something for you? Read on. In this role, you will lead the development and implementation of cutting-edge natural language processing and machine learning models to power the Klassif.ai platform. You will work closely with the development team to understand the requirements and develop solutions that meet our users' needs. You should have a strong background in NLP and/or ML.


Your key responsibilities:

  • Develop and implement ML models, including text classification, named entity extraction models (NER), and relation extraction models (RE)

  • Collaborate with product and development teams to understand the requirements and develop solutions that meet our users' needs

  • Keep up-to-date with the latest advancements in ML/NLP and incorporate them into Klassif.ai

  • Work with large datasets and perform data cleaning, pre-processing, and feature engineering

  • Troubleshoot and debug ML models and provide guidance on model selection and training

  • Participate in code reviews and ensure the code is robust, secure, and maintainable

Your foundations

  • Strong background in ML and/or NLP
  • Experience developing and deploying models in a production environment
  • Proficient in one or more programming languages, such as Python and JavaScript

  • Experience working with machine learning frameworks such as TensorFlow, PyTorch, scikit-learn

  • Experience with natural language processing libraries such as NLTK, spaCy, and CoreNLP

  • Strong problem-solving skills and ability to think creatively to come up with solutions

  • Strong communication skills and ability to work well in a team environment


What you'll get in return

  • Competitive compensation packages

  • Flexibility to work remotely, from where you want

  • Flexdesk in Leuven, Ghent and Kontich

  • Amazing culture and colleagues

Apply now

Your data will be used to get in touch with you.

what we do

Socials

address. Gaston Geenslaan 11 B4, 3001 Leuven