Assignment Description:
We are looking for a Senior Machine Learning Specialist to join our dynamic team.
What you will work on:
- Develop and apply advanced machine learning models for language technology and quality assessment
- Build, train, and optimize models within the QUAIL framework using the LLM-as-a-judge methodology
- Design and implement quality scoring systems and multimodal translation workflows
- Contribute to the development of MAP, enabling large-scale AI-driven translation and localization across diverse languages and regions
- Collect, clean, and structure multilingual corpora to support benchmarking and evaluation
- Deploy models into production environments, ensuring operational stability, scalability, and cost efficiency
- Create scalable automated evaluation pipelines that operate across segments, files, and full content in multiple languages
- Support human-in-the-loop processes to improve sampling, quality control, and continuous model refinement
What you bring:
- Strong expertise in NLP and large language models, including prompting, fine-tuning, and evaluation
- Experience working with quality assessment frameworks and LLM-based scoring methods
- Solid background in data engineering for ML, including preparation of multilingual corpora
- Competence in MLOps, production deployment, monitoring, and optimization for cost-effective operations
- Familiarity with machine translation evaluation metrics such as BLEU, COMET, MQM, or modern LLM-based alternatives
- Applied experience in speech and multimodal ML, including STT, speech isolation, diarization, TTS, and dubbing
- Ability to design and maintain scalable evaluation pipelines across multiple languages and content types
- Experience with human-in-the-loop workflows for quality monitoring and iterative improvement
- Understanding of cultural and linguistic nuances relevant to assessing “fit for purpose” translation quality
- Fluent in English and swedish.
If this sounds interesting, please send your CV to cv@veritaz.se
