Senior Machine Learning Specialist - 14721

Om jobbet

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.