Workplace: Lisbon (Hybrid)
Profile:
A degree in Mathematics, Computer Science, Machine Learning or a related field; At least 3 years’ professional experience in data science environments, with experience in building and deploying models in production; Strong knowledge of Python (NumPy, pandas, scikit-learn, PyTorch or TensorFlow); Experience in data visualisation using Matplotlib, Seaborn, Plotly, Power BI or Tableau; Experience in SQL for data analysis and querying; Familiarity with cloud-based machine learning platforms (Azure ML, AWS SageMaker, GCP Vertex AI); Proven experience in developing and evaluating supervised and unsupervised machine learning models, including tuning and validation; Understanding of MLOps principles (model registry, versioning and deployment lifecycle); Experience with ML experimentation tools (MLflow, W&B, Databricks ML); Knowledge ...