Proven experience delivering cloud-based AI solutions with Azure OpenAI and GCP Vertex AI (including MLOps pipelines and multimodal models)., Strong hands-on background in LLM evaluation, optimization, and scaling on platforms like Gemini and TPU v5 Pods., Demonstrated success in automation projects that drove measurable cost reductions., Experience building RAG systems with hybrid (vector + lexical) search and dynamic data hydration., Solid understanding of AI compliance and governance, especially in regulated industries (healthcare, finance)., Proficiency in Python, PyTorch, and TensorFlow, with expertise in large-scale model deployment., A strategic and collaborative mindset — combining technical leadership with business impact., A visit to the office in Kraków once a month., Certifications in cloud-based AI:, Microsoft Certified: Azure AI Engineer Associate, Google Cloud Professional Machine Learning Engineer, Experience with hybrid or multi-cloud GenAI deployments – e.g., training models on GCP TPUs and serving them via Azure endpoints., Familiarity with best practices for scalability, security, and cost optimization in cloud-based AI/ML environments.

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