ML Operations Engineer - Lead
Lead and develop the India ML operations team; set direction, standards and priorities for the model estate.
Comfortable in translating Business requirements and communicating to his repartees. Preferred to hold prior experience in handling churn models.
Own the deployment and retraining discipline — validation gates (backtest / champion-challenger) before any model is promoted, with a rehearsed rollback path.
Own drift and performance monitoring across the portfolio (data, feature and concept drift), and the retraining triggers and thresholds per model.
Own the lineage registry (version, training data, baseline, last-known-good) and model auditability for the estate.
Own the responsibility of applying Business requested model changes in agreed timelines. Model responsibility — monitoring bias / fairness on decision-making models (e.g. churn, fraud) and keeping humans in the loop where appropriate.
Manage the partnership with Data Engineering — data contracts, freshness and change-notification — and treat data-quality issues as first-class.
Coordinate with the Singapore lead and team on change scheduling, incidents affecting shared services, and estate-wide standards.
Report model health, deployment success and portfolio performance into the function’s KPIs.
Mandatory skills - MLOps,Customer Churn,Model Deployment,,Model Monitoring,Drift Detection,Model Retraining
Degree in Computer Science, Data Science, Engineering, Statistics, or a related field
8+ years in ML / MLOps / data-science engineering, with team leadership
Hands-on experience deploying and operating traditional ML models in production
Experience with drift monitoring, retraining and model validation
MLOps: CI/CD for models, model registries, lineage
Drift detection (data / feature / concept) and retraining pipelines
Champion-challenger / backtesting and validation discipline
Model performance metrics (AUC, precision-recall) and decay management
People leadership and mentoring
Disciplined operational judgment
Clear communication across a cross-border reporting line
Understanding of telco predictive use cases (churn, fraud, revenue assurance, network forecasting)
Job Stability - min 2 years in an organization
Notice Period - Immediate to Serving notice candidates
Excellent communication