Education: Bachelors/Masters in CS/AI or equivalent industry experience (5+ years in ML, 2+ in GenAI)., Technical Mastery:, Languages: Python., Frameworks: Expert-level PyTorch, TensorFlow Extended (TFX), ONNX Runtime., Cloud: Certified in Azure AI Engineer Expert and/or GCP Professional ML Engineer., GenAI Expertise:, Shipped production GenAI systems (e.g., 10k+ QPS chatbots, code autocomplete at GitHub Copilot scale)., Advanced prompt/response engineering: Self-critique chains, LLM cascades, guardrail-driven generation., Must-Have Experience:, Cloud AI experience:, Azure: Designed solutions with Azure OpenAI, MLOps Pipelines, and Cognitive Search., GCP: Scaled Vertex AI LLM Evaluation, Gemini Multimodal, and TPU v5 Pods., High-Impact Projects:, Automation projects to reduce significant $$ costs., Built RAG systems with hybrid search (vector + lexical) and dynamic data hydration., Led AI compliance for regulated industries (healthcare, finance)., A visit to the office in Kraków once a month., Certifications:, Azure: Microsoft Certified: Azure AI Engineer Associate., GCP: Google Cloud Professional Machine Learning Engineer., Experience with hybrid/multi-cloud GenAI deployments (e.g., training on GCP TPUs, serving via Azure endpoints).

sharing the costs of sports activities, private medical care, sharing the costs of foreign language classes, sharing the costs of professional training & courses, remote work opportunities, flexible working time, integration events