We are in search of a Senior Machine Learning Engineer to join our AI Lab in Boadilla del Monte, with the following qualifications and background:
Professional Experience
5+ years of professional experience in Machine Learning Engineering, Data Science or Applied Research roles. (Required)
Proven experience building, deploying and operating end-to-end machine learning solutions on tabular data at scale in production cloud environments. (Required)
Experience leading technical decisions, proofs of concept or AI/ML initiatives and supporting junior team members. (Required)
Experience working in agile, cross-functional teams across multiple markets or geographies. (Required)
Experience in fintech, payments, banking or e-commerce. (Preferred)
Hard Skills
Required
Python and core data and machine learning libraries, including pandas, NumPy, scikit-learn, XGBoost or LightGBM, SciPy and statsmodels. (Required)
Applied statistics, probability and linear algebra, with experience in classification, regression, uplift and anomaly detection at scale, feature engineering, temporal validation, explainability (XAI) and mathematical optimization. (Required)
Observational causal inference, uplift modeling, A/B testing and experimental design, including familiarity with EconML, causalml and DoWhy. (Required)
Azure Databricks, including Workflows, Delta Lake, Unity Catalog and Databricks Connect; Azure OpenAI Service, AKS and Key Vault; PySpark, Spark SQL and MLflow for tracking, registry, serving and versioning. (Required)
Time-series and model-monitoring techniques, including change point detection, clustering, seasonality and trend analysis, drift detection, data quality alerts and performance dashboards. (Required)
Transformer and LLM concepts, prompt engineering and the integration and operationalization of LLM-based solutions through Azure OpenAI or similar services. (Required)
Git, CI/CD for machine learning, pytest, schema validation and clean, testable, well-documented Python code. (Required)
Soft Skills
Required
Technical leadership, sound decision-making, ownership and accountability. (Required)
Analytical thinking and structured problem-solving. (Required)
Clear communication with technical and non-technical stakeholders. (Required)
Cross-functional collaboration across markets and geographies. (Required)
Ability to mentor junior colleagues and foster continuous improvement. (Required)