ML Engineer – NLP

Job not on LinkedIn

🔥 16 hours ago

🇵🇱 Poland – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📝 NLP Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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KIEFER

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

🏗️ Construction

🏥 Healthcare

📦 Logistics

Construction • Healthcare • Logistics

KIEFER is an energy technology company focused on developing and delivering technologies that improve the production, storage, distribution, or efficiency of energy systems. The company works at the intersection of engineering and energy innovation to provide solutions for utilities, industrial operators, and other energy stakeholders aiming to reduce costs, increase reliability, and lower environmental impact.

📋 Description

• 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