Language Engineer - Native in German (from Germany)

M47labs; Logroño; Presencial; EUR 30.000 - 50.000; Jornada completa

Descripción de la vacante

An innovative AI engineering company seeks a Language Engineer to enhance their Personal Voice Assistant software for the German market. The role focuses on NLP and Machine Learning, requiring a blend of linguistic and programming skills. Join a diverse team in a dynamic work environment with opportunities for growth and comprehensive benefits.

Servicios

Comprehensive compensation package

Private medical insurance

On-demand learning budget

Flexible remuneration through Cobee

International and inclusive work environment

Formación

• Native knowledge of German from Germany.
• 1+ year of engineering experience with NLP or Machine Learning.
• Academic background in Computer Science or related fields.

Responsabilidades

• Support training for NLP models to adapt software for German.
• Analyze model outputs and provide insights for improvement.
• Innovate new product features tailored to the German market.

Conocimientos

Linguistic comprehension

Organizational skills

Analytical skills

Problem-solving skills

Educación

BSc or MSc in Computer Science

Computational Linguistics

Speech Technologies

Herramientas

Python

Pytorch

Scikit-learn

Keras

NLTK

GIT

Descripción del empleo

M47 is an AI Engineering company focused on providing businesses with the latest and most advanced Artificial Intelligence solutions. Our deep expertise in AI Language Technologies, including NLP and LLMs, empowers businesses with custom-built cutting-edge solutions. We are dedicated to creating AI-driven applications that can understand, interpret, and respond to human language. Join us in making the future more intelligent.

About you

In line with M47’s exciting growth, we are on the quest for a talented Language Engineer to join our NLP team to work on cutting-edge Personal Voice Assistant software used by millions of users worldwide, with one of our major clients. We are looking for someone with native knowledge of German (from Germany) to join us!

In this role, you will support the training for Machine Learning and Natural Language Processing models to help expand and adapt the software to your native language, so the ideal candidate has programming fundamentals, an understanding of Machine Learning / NLP concepts and processes combined with a love for language to help them go a step beyond in human-machine interaction.

Iterating 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.

Automating and integrating workflows from diverse systems.

Ensure transversal and continuous communication with the team and the client.

What is in it for you?

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 of our industry.

Comprehensive compensation package, including private medical insurance, expert tax support, coverage and flexible remuneration through Cobee, including meals and transport.

Great international, inclusive and dynamic work environment (more than 20 nationalities!).

What you'll need :

Native knowledge of German (from Germany) .

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 any of the 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.

An academic background (BSc or MSc) in Computer Science, Computational Linguistics, Speech technologies, related fields, or equivalent experience.

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