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Language Engineer for NLP Team

hace 2 meses


Barcelona, Barcelona, España M47 Labs & International Fiducia A tiempo completo
About M47 Labs & International Fiducia

We are an AI Engineering company focused on delivering cutting-edge Artificial Intelligence solutions to businesses worldwide. Our expertise in AI Language Technologies, including NLP and LLMs, enables us to create custom-built solutions that empower businesses to succeed.

About the Role

We are seeking a talented Language Engineer to join our NLP team and work on our Personal Voice Assistant software, used by millions of users worldwide. As a Language Engineer, you will support the training of Machine Learning and Natural Language Processing models to expand and adapt the software to your native language.

Responsibilities
  • Iterate on data to improve the accuracy of NLP/ML models for your native language.
  • Analyze model output to provide insights and improvements, deciding which type of data to feed to the algorithm.
  • Provide input and suggestions towards innovating new approaches and product features tailored to your home market.
  • Automate and integrate workflows from diverse systems.
  • Ensure transversal and continuous communication with the team and the client.
What We Offer
  • Temporary project with the possibility to extend.
  • Office located at the heart of Barcelona.
  • Follow your career ambition with growth opportunities (horizontal and vertical).
  • On-demand learning budget and ongoing educational company-wide trainings of relevant topics.
  • Comprehensive compensation package, including private medical insurance, expert tax support, and flexible remuneration.
  • Be part of our diverse communities and enjoy our meet-ups.
  • Great international, inclusive, and dynamic work environment.
Requirements
  • Native knowledge of one of the locales: English from Great Britain (en GB) or Portuguese from Brazil (pt BR).
  • 1+ year of engineering experience and interest in diverse technical areas.
  • Experience in NLP, Machine Learning, or related fields such as Data Engineering.
  • Knowledge of Python and typical ML libraries.
  • Good linguistic comprehension and knowledge of the structural aspects of the desired language.
  • Experience with GIT or other version control systems.