ML Engineer – NLP
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Job Description
ML Engineer improving Polish-language NLP models for KIEFER’s sovereign AI ecosystem. Building evaluations, datasets, adaptation methods, and production quality monitoring.
Responsibilities:
- Define priority Polish-language use cases and quality targets with Product and go-to-market teams
- Measure current model quality in Polish and investigate errors in language use, terminology, and user tasks
- Build Polish-language datasets and evaluations, using native-speaker review where needed
- Improve model quality through better data, fine-tuning, post-training, or other adaptation methods
- Set up regression tests, quality checks, and monitoring for Polish-language model updates
- Use evaluation results and market feedback to identify remaining gaps and recommend next steps
Requirements:
- 3+ years of hands-on ML or NLP engineering experience, including work on a non-English or multilingual system in production
- Strong Python skills
- Experience with PyTorch, JAX, TensorFlow, or a similar ML framework
- Experience building evaluations that reflect real user tasks and combine automatic metrics with human review
- Experience preparing and checking language datasets and building reliable data pipelines
- Hands-on experience fine-tuning, post-training, or adapting NLP or LLM models and measuring the results
- Strong software engineering and production ML skills, including model versioning, regression testing, and monitoring
- Professional working proficiency or native-level fluency in Polish is nice to have
- Experience improving an AI or NLP product for a new language or market is nice to have
- Research or open-source work in multilingual NLP or model evaluation is nice to have
Benefits:
- Competitive package aligned with talent benchmarks
- Hands-on work shaping AI capabilities for Kiefer Tech’s products and real-world applications
- AI-native environment with challenges across model development, evaluation, and production AI systems
- Engineering-first culture
- High autonomy
- Low bureaucracy
- Space to shape meaningful AI products
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