Data Scientist

Jana Hornová, e-mail: jana.hornova@siemens.com

What role will you play?

• Design and implement AI agents for cloud solutions that process unstructured data from incoming customer requests.
• Develop and optimize natural language processing (NLP) models and generative AI to interpret queries, extract relevant data, and trigger workflows.
• Build and maintain ML pipelines for training, deploying, and monitoring models in production.
• Collaborate with backend teams to integrate AI models into APIs and customer-facing applications.
• Ensure scalability and reliability of AI solutions in cloud environments (Azure/AWS).

What requirements should you meet?

• We welcome advanced knowledge of Python and some of its data ecosystem (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Practical experience with cloud platforms (Azure, AWS) and cloud-native development principles is an advantage.
• Knowledge of containerization (Docker) and orchestration (Kubernetes) for deploying ML solutions is an advantage.
• Knowledge of the English language for daily use and communication.
• Ability to work in a self-organized, agile team and collaborate across functions.
• Strong customer orientation and problem-solving mindset.????