The person in this role will work with project teams developing modern data platforms in cloud environments for global brands. They will work in an international environment and specialize in Data & AI solutions and the latest technologies in that area, as well as promote the principals of the DataOps manifesto.
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
requirements-expected :
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)
offered :
Global projects in clouds - we work with clients from all over the world based on modern cloud technologies
Certification reimbursement - we fund exams, certifications from Microsoft, AWS, Databricks
Time to learn - 60 paid hours per year
Flexible approach - you can choose to work from home or meet at our offices
Personalized benefits - medical care, subsidized sports packages, language tuition, new employee referral bonus (up to PLN 15,000) as well as annual and media bonus
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of foreign language classes
sharing the costs of professional training & courses
