ML Engineer – NLP

• 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

• 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

• 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