Requirements

Expected technologies

Python

Keras

TensorFlow

Theano

PyTorch

JIRA

Confluence

Our requirements

• Min. 2 years of commercial project experience in the Data Science area
• Proficiency in problem analysis and solution synthesis
• Experience with various statistical and machine learning models
• Very good knowledge of selected ML libraries (e.g. Keras, TensorFlow, Theano, PyTorch)
• Very good knowledge of selected ML solution lifecycle management platforms (e.g. Amazon SageMaker, Azure Machine Learning, MLflow)
• Experience in working with LLMs (advanced prompting techniques, fine-tuning, safeguarding, RAG, agentic frameworks) OR experience in time-series forecasting using various traditional techniques and advanced models (including Prophet, TTM, Chronos, TimesFM)
• Advanced programming skills in Python
• Writing clear and structured code, adhering to good programming practices
• Proficiency in the use of git repositories and tools such as JIRA, Confluence, Teams, etc.
• Practical knowledge of English at min. B2 (C1+ preferred)

Your responsibilities

• Working closely with clients across sectors - from analyzing problems and identifying areas to address, to designing and presenting advanced analytics and machine learning solutions
• Designing solutions at operational (MLOps) and content level (selection of mathematical and/or machine learning models)
• Leading projects from the business and data analysis stage to production implementation and verification of results