Senior ML Engineer
Core
Own and productionize machine-learning models for new-product first-order recommendations and forecasting.
Role type
Senior ML Engineer (MLOps & Production)
Builds
Recommendation logic, training/inference pipelines, and monitoring for retail/catalogue products.
Domain
Retail, Wholesale, Supply Chain
Deliverable
production ML models
Required skills
Azure Machine Learning, MLOps, model versioning, automated retraining, data validation, CI/CD for ML, model monitoring, data-drift detection, batch pipeline management, Git workflows, model evaluation, backtesting, documentation.
Preferred skills
demand forecasting, inventory optimization, LightGBM, Azure SQL, Azure managed identities, Power BI integrations, Azure DevOps, service-level inventory modeling, model calibration, new-product forecasting with limited data.
Technologies
Azure Machine Learning, Azure SQL, Power BI, LightGBM, Azure DevOps, GitHub Actions, Git, Azure Monitor, Key Vault.
Responsibilities
Develop and productionize ML models for new-product recommendations; maintain training and inference pipelines; implement scheduled model retraining and validation gates; ensure data quality and completeness checks; integrate ML outputs with data warehouses and reporting; maintain MLOps capabilities including monitoring and data-drift detection; support phased rollout and operational handover.
Seniority
Senior, hands-on IC