AI Linguist - Digitalization & NLP Specialist
Workplace: Göteborg, Sverige
Expires: November 21, 2025
We are a forward-thinking technology company focused on transforming industries through AI-driven solutions. We seek an AI Linguist to develop smarter, language-aware systems unlocking unstructured data potential.
Main requirements:
- Bachelor degree in Computational Linguistics, Computer Science, Artificial Intelligence, or related field
- Degree from top 100 globally ranked university
- Proven experience in NLP, OCR, and data analysis using Python, spaCy, NLTK, Hugging Face, Tesseract
- Strong project management skills, experienced with tools like Jira, Confluence
- Solid understanding of linguistic theory and its application in computational models
- Excellent English communication and documentation skills
Responsibilities:
- Lead and contribute to AI-driven digitalization tool development
- Design and implement NLP pipelines for classification, entity extraction, summarization, sentiment analysis
- Apply OCR techniques for scanned documents and handwritten text
- Analyze linguistic data and corpora for model training and evaluation
- Collaborate with engineering teams to deploy and optimize language models
- Manage AI-related projects end-to-end ensuring quality and timeliness
- Monitor advancements in AI linguistics and integrate state-of-the-art techniques
Required hard skills:
- Natural Language Processing (NLP)
- Optical Character Recognition (OCR)
- Data Analysis
- Python programming
- Use of NLP libraries: spaCy, NLTK, Hugging Face
- OCR tool: Tesseract
- Project management with Jira and Confluence
Recommended hard skills:
- Experience with large language models (LLMs) and prompt engineering
- Familiarity with machine translation, speech recognition, multilingual NLP
- Experience in digital transformation or enterprise AI projects
- Knowledge of cloud platforms like AWS, GCP, Azure and MLOps practices
Soft skills:
- Excellent communication
- Strong project management
- Collaboration
- Documentation
Coding languages:
- Python
Frameworks:
- spaCy
- NLTK
- Hugging Face
Natural languages:
- English (Proficient)
Cultural skills:
- Collaboration in diverse and international teams
- Innovative mindset
- Focus on professional development and growth
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