Data Scientist, AI/ML Predictive Maintenance Platform
Core
Develop, train, and fine-tune ML models on real-time IoT sensor data for anomaly detection and failure prediction across diverse physical assets.
Role type
Senior IC machine-learning engineer (predictive maintenance)
Builds
Production ML models for asset health monitoring
Domain
Industrial IoT / Predictive Maintenance
Deliverable
production ML models
Required skills
time-series analysis, anomaly detection, failure prediction, forecasting, change point detection, survival analysis, representation learning, hybrid modeling, model deployment, model monitoring, drift detection, model retraining strategies
Preferred skills
Gen AI techniques, LSTM, Transformer architectures, statistical thresholding
Technologies
IoT platforms, time-series databases, ML frameworks (implied by context)
Responsibilities
Develop and deploy models for anomaly detection and failure prediction; Monitor model performance and implement retraining/rollback strategies; Collaborate with product and engineering teams to align ML decisions
Seniority
Senior, hands-on IC