Language Engineer - Native in Danish

M47 Labs
M47 Labs
Barcelona, SpainOn-siteCompetitiveAdded 5 months ago

Requirements

This is for you if you have:

  • BS/MS in Computer Science, Software Engineering, Computational Linguistics, or a related field.

  • Native level of Danish (Spoken and Written)

  • Strong proficiency in Python. You must be able to proceed with coding tasks independently without heavy reliance on LLM tools.

  • Comfortable working in a Unix-based environment (Bash, grep, piping commands).

  • Problem-solving mindset: You prefer to write a script to fix a problem once, rather than fixing it manually 100 times.

  • Strong English communication skills.

Bonus points if you have:

  • Practical experience with NLP libraries such as spaCy, NLTK, or Hugging Face.

  • Experience with SQL for querying datasets.

  • Familiarity with cloud environments (AWS, Azure).

  • Previous experience in Software QA or Test Automation.

What is in it for you?

πŸ’ͺ🏽 Indefinite contract

β˜€οΈ Office located at the heart of Barcelona

πŸ’‘ Comprehensive compensation package, including private medical insurance coverage and flexible remuneration through Cobee, including meals, gym pass, transport, and kindergarten.

πŸ“š Learning budget to support your career ambition.

πŸ‹οΈβ€β™‚οΈ Get your wellness improved with Urban Sports 

πŸ’Έ Cover your tax and fiscal management with TaxDown

🌍 Great international, inclusive, and dynamic work environment (more than 40 nationalities!)

Special requirement

For this position you must be a holder of a valid working permit for Spain/EU citizenship and be available to work full-time onsite.

**M47 Labs not only encourages but is actively working on empowering its diverse and inclusive talent. M47 Labs is committed to ensure a non-discriminative workplace, work life and selection process and such decisions will not be influenced by race, color, religion, gender identity or expression, sexual orientation, disability, social and conjugal status, age or other applicable characteristics. M47 Labs prohibits discrimination and harassment of any kind and all employment is decided on the basis of qualifications, merit, and business needs.**

In accordance with the provisions of Regulation (EU) 2016/679 of 27 April (GDPR) and the Organic Law 3/2018 of 5 December (LOPDGDD), we inform you that personal data and email addresses collected from the Data Subject will be processed under the responsibility of M47 LABS & INTERNATIONAL FIDUCIA SL for a legitimate interest and for the purpose of sending communications about our products and services and will be retained for as long as none of the parties object. The data will not be communicated to third parties, unless under legal obligation. You can exercise your rights of access, rectification, portability and erasure of your data and those of restriction and objection to their processing by contacting DIPUTACIΓ“, 279 4 4 - 08007 BARCELONA (Barcelona). E-mail: [email protected]. If you consider that the processing does not comply with current legislation, you may file a complaint with the Spanish supervisory authority at www.aepd.es.

Original Advert

At M47, we spark AI!

We help multinational tech companies understand how AI can drive their strategic objectives, effectively plan an implementation roadmap, and facilitate change management. By leveraging AI, businesses achieve higher productivity, more satisfied clients, and better-informed decisions.

Join us in making the future more intelligent!

About your day-to-day:

You will join our AI Voice Assistant project to ensure seamless user interactions. Our mission is to support the training of Machine Learning and Natural Language Processing models to expand the model's responsiveness across different languages. To do so, we work in a native language environment.

  • Scripting & Automation: Design and write Python scripts from scratch to process, clean, and validate massive text datasets (JSON, XML, CSV).

  • Algorithmic Analysis: Investigate model failures by analyzing logs and data patterns, using code to identify root causes rather than manual review.

  • Write complex Regex rules to automatically detect and fix linguistic errors across thousands of lines of data.

  • Troubleshoot technical issues during data ingestion and export, working with the core engineering team to resolve encoding or formatting errors.

  • Provide technical feedback to improve internal annotation tools and automate repetitive tasks using shell scripts or simple bots.

  • Version Control: Manage datasets and codebase changes using Git (branching, committing, and merging).

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