Senior Data Scientist [M/F]
Must-have:PythonAzureDockerKubernetesDataCI/CDAI
Machine translation — original language: Polish.Show original
Requirements
- Minimum 8 years of experience in IT, including at least 5 years in a similar position, and participation in at least 2 advanced projects involving the creation and implementation of AI/ML solutions.
- Very good knowledge of Python, pandas, scikit-learn, and PyTorch, TensorFlow, or equivalent frameworks.
- Practical experience in the full ML lifecycle: data preparation, feature engineering, training, validation, deployment, and model monitoring.
- Knowledge of Azure Machine Learning, Azure AI Foundry, Azure OpenAI, or comparable AI/ML platforms.
- Experience with MLOps: MLflow/model registries, pipelines, CI/CD, automation, monitoring, and model versioning.
- Practice in several ML areas, e.g., forecasting, predictive analytics, anomaly detection, NLP, RAG, or computer vision.
- Experience with large structured and unstructured datasets and SQL/NoSQL databases.
- Skills in preparing model documentation, collaborating with the business, and presenting results.
- Education at minimum EQF 7 level – Master's degree or equivalent – and English at minimum C1 level.
- Minimum 2 certificates from: CAP, CDP Data Engineer, CDP Data Analyst, Azure Data Scientist Associate
Must have: Python, Azure
Nice to have: Docker, Kubernetes