Senior Machine Learning Engineer

Job Description:

• Design, train, and evaluate models for prediction, ranking, and recommendation problems in order management
• Contribute across problem framing, data preparation, feature engineering, training, evaluation, and retraining strategy
• Translate product roadmap priorities into well-framed modeling problems with product management
• Profile customer data, tune and validate models, and work with implementation and solution engineering teams
• Build reproducible Python training pipelines and experiment tracking
• Profile, clean, and validate large-scale enterprise SAP data
• Package models and pipelines for deployment
• Define production monitoring, including drift detection, performance regression signals, and data quality checks
• Translate model behavior and operational reality when production issues arise
• Integrate model output into the product stack through documented service interfaces
• Apply responsible AI practices, including bias evaluation, explainability, and careful data handling
• Document models and explain behavior, limitations, and trade-offs to engineers, delivery teams, sales, and customers
• Review peers' modeling work and raise standards for rigor and reproducibility

Requirements:

• Demonstrated depth in applied machine learning and data science, with models built that reached production and were measured there
• Strong Python skills and fluency with PyTorch or TensorFlow, scikit-learn, pandas, and NumPy
• Solid statistics foundation, including experimental design and appropriate evaluation metrics
• Strong SQL and comfort working with large relational datasets
• Experience building scheduled data and feature pipelines that work with messy source systems
• Experience packaging, documenting, and specifying model requirements for a separate operations or platform team
• Comfort working directly with customers and delivery teams
• TypeScript or JavaScript proficiency sufficient to integrate with the product stack
• Clear written and verbal communication
• Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or a related technical field, or equivalent practical experience
• Resume must be uploaded in English

Benefits:

• Full-time contractor engagement
• Equal-opportunity and affirmative-action employer
• Equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status