NLP Engineer
hace 6 días
M47 Labs is a pioneering Artificial Intelligence Engineering company dedicated to providing cutting-edge AI solutions to businesses worldwide. Our expertise in AI Language Technologies, including NLP and LLMs, enables us to deliver custom-built solutions that empower businesses to stay ahead in the market.
About the RoleWe are seeking a talented Language Engineer to join our NLP team and work on our cutting-edge Personal Voice Assistant software used by millions of users worldwide. As a Language Engineer, 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 various languages.
Key Responsibilities- Iterate on data to improve the accuracy of NLP/ML models for your native language.
- Analyze the model's output to provide insights and improvements, deciding which type of data should be fed to the algorithm.
- Provide input and suggestions towards innovating new approaches and new 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.
- A temporary project with the possibility to extend.
- A dynamic and inclusive work environment with over 20 nationalities.
- On-demand learning budget and ongoing educational company-wide training of relevant topics in our industry.
- A comprehensive compensation package, including private medical insurance, expert tax support, and flexible remuneration through Cobee.
- Native knowledge of one of the following locales: Italian from Italy (it_IT), Spanish from Spain (es_ES), or Spanish from Mexico (es_MX).
- 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 such as Pytorch, Scikit-learn, Keras, NLTK, etc.
- Good linguistic comprehension and knowledge of the structural aspects of the desired language.
- Experience with GIT or other version control systems.
- Good organizational and analytical skills.
- Ability to think outside of the box and strong problem-solving skills.
- Excellent communication skills.
- An academic background (BSc or MSc) in Computer Science, Computational Linguistics, Speech technologies, or related fields.
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