Senior Machine Learning Engineer – Time Series & Forecasting (w/m/d)
Core
Developing and deploying machine learning solutions for time series forecasting, anomaly detection, and predictive maintenance on sensor and process data.
Role type
Senior Machine Learning Engineer (Time Series & Forecasting)
Builds
Production ML models for forecasting, anomaly detection, and predictive maintenance integrated into industrial or production-proximate systems.
Domain
Industrial IoT / Manufacturing / Process Engineering
Deliverable
production ML models
Required skills
Time series forecasting, Anomaly detection, Predictive maintenance, Python, Statistical methods (ARIMA, ETS), Gradient boosting (LightGBM, XGBoost), Deep learning (N-BEATSx, N-HiTS, TFT, PatchTST), Foundation models (TimesFM, Chronos, TimeGPT, Moirai), MLOps, Software engineering
Preferred skills
Decision optimization (Pricing, Disposition), Causal inference (Double ML, intervention-aware modeling), Edge/On-Prem deployments, PLC/SCADA/MES integration
Technologies
scikit-learn, PyTorch, darts, statsforecast, neuralforecast
Responsibilities
Design and implement end-to-end ML solutions from data preparation to model evaluation; Select and implement appropriate methods ranging from statistical baselines to deep learning; Collaborate with internal stakeholders and client representatives; Support the setup of stable MLOps environments across cloud and on-prem; Present technical concepts and communicate with clients during sales processes; Stay updated on time series developments and apply knowledge to client projects.
Seniority
Senior, hands-on IC
