Senior Machine Learning Specialist – 14721

Publiceringsdatum: 2025-12-09

Letar du efter ett jobb inom data/it? Nu har du chansen att börja jobba som projektledare, it hos Veritaz AB. Sök nu om du är intresserad av att arbeta heltid hos Veritaz AB under 6 månader eller längre. De letar just nu efter nya medarbetare.

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Jobbannons

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in securing the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

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.