We are looking for a Senior Machine Learning Engineer to help build the intelligence behind OMS+ IA. The focus is models that make a measurable difference inside enterprise order management: product and cross-sell recommendations, churn and propensity scoring, demand and delivery forecasting, and document intelligence.
The role is split between product and delivery. On the product side, you will help design and build the models that ship as part of the platform. On the delivery side, you will work directly with customer data and customer teams to get those models performing in real environments, where the data is messier and the requirements are more specific than any roadmap anticipates.
Key Responsibilities
- Design, train, and evaluate models for prediction, ranking, and recommendation problems in order management. Things like cross-sell recommendations, churn and propensity scoring, and demand forecasting.
- Contribute across the modeling lifecycle: problem framing, data preparation, feature engineering, training, evaluation, and retraining strategy.




- Work with product management to translate roadmap priorities into well-framed modeling problems.
- Support delivery engagements: profile customer data, tune and validate models against it, and work with implementation and solution engineering teams to get results the customer can trust.
- Help build reproducible training pipelines and experiment tracking in Python so results can be reviewed, rerun, and defended.
- Profile, clean, and validate large-scale enterprise SAP data, and be candid about what the data can and cannot support.
- Package models and pipelines for deployment.
- Define the production monitoring a model requires (drift detection, performance regression signals, data quality checks).
- Act as the modeling counterpart to IT when production looks wrong, translating between model behavior and operational reality.
- Help integrate model output into the product stack through clean, well-documented servi

📌 Senior Machine Learning Engineer (Argentina)
🏢 DataXstream
📍 Argentina