Senior Machine Learning Engineer (Risk Modelling)
Type: Full time
Location- Remote
Experience- 5+ years

About the role
We are hiring a Senior Machine Learning Engineer to lead the modelling workstream of a large-scale predictive analytics programme. You will build and productionise a risk-based classification system that scores spare-parts criticality across an enterprise asset base, turning maintenance, inventory, and supply chain data into a deployed decision-support engine. This is a hands-on delivery role in a fixed-timeline engagement, from feature design through production deployment and handover.

What you'll do
Design and engineer features from enterprise maintenance, inventory, and planning data (equipment master, failure history, BOM structures, lead times, demand variability, supplier and obsolescence risk)
Develop, validate, and deploy an ML vulnerability scoring model on Databricks, with rigorous cross-validation, hyperparameter tuning, and baseline benchmarking against a defined AUC acceptance target




Build the risk classification engine assigning composite scores and A/B/C criticality classes, with configurable thresholds and documented recalibration governance
Implement MLOps practices: experiment tracking in MLflow, CI/CD-based deployment, drift detection, performance alerting, and executable retraining procedures
Co-design scoring parameters with supply chain and plant maintenance stakeholders; present model design and results to technical and business audiences
Support SIT/UAT, resolve model-related defects, and deliver technical documentation and knowledge transfer

What you'll need
5+ years of hands-on ML engineering experience, with demonstrable delivery of risk modelling, classification, or scoring systems into production
Strong Python and Spark; production experience on Databricks (Delta Lake, MLflow, Workflows)
Solid grounding in classification model evaluation (AUC/ROC, calibration, handling class imbalance) and feature engineering on messy

📌 Senior Machine Learning Engineer (India)
🏢 Namasys Analytics
📍 India