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M47 Labs & International Fiducia, S.L. is a pioneering AI Engineering company dedicated to delivering cutting-edge Artificial Intelligence solutions to businesses worldwide. Our expertise in AI Language Technologies, including NLP and LLMs, enables us to craft custom-built, innovative applications that can comprehend, interpret, and respond to human language.
About the RoleWe are seeking a talented Language Engineer to join our NLP team and contribute to the development of our Personal Voice Assistant software, used by millions of users globally. As a native Italian speaker from Italy, you will play a crucial role in supporting the training of Machine Learning and Natural Language Processing models to expand and adapt the software to your native language.
Key Responsibilities- Iterate on data to enhance the accuracy of NLP/ML models for Italian.
- Analyze model output to provide insights and improvements, deciding which data to feed to the algorithm.
- Contribute to innovating new approaches and product features tailored to the Italian market.
- Automate and integrate workflows from diverse systems.
- Ensure seamless communication with the team and client.
- A temporary project with the possibility of extension.
- An office located in the heart of Barcelona.
- Opportunities for career growth and development.
- An on-demand learning budget and ongoing educational company-wide trainings.
- A comprehensive compensation package, including private medical insurance and flexible remuneration.
- A diverse and inclusive work environment with various communities and meet-ups.
- Native knowledge of Italian (from Italy).
- 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 Italian.
- Experience with GIT or other version control systems.
- Good organizational and analytical skills.
- Ability to think outside the box and strong problem-solving skills.
- Excellent communication skills.
- An academic background in Computer Science, Computational Linguistics, Speech technologies, or equivalent experience.
