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
End-to-end ML solutions for industrial and production systems
Domain
Industrial IoT, Predictive Maintenance, Time Series Analysis
Deliverable
production ML models
Required skills
Time series forecasting, Anomaly detection, Predictive maintenance, Python, scikit-learn, PyTorch, darts, statsforecast, neuralforecast, MLOps, Cloud/On-Prem deployment, Statistical baselines, Deep learning
Preferred skills
Experience with sensor-based applications, Client-facing technical communication, Proposal and acquisition processes
Technologies
scikit-learn, PyTorch, darts, statsforecast, neuralforecast
Responsibilities
Develop and implement ML solutions for forecasting and anomaly detection, Design robust end-to-end solutions from data preparation to model deployment, Select and implement methods from statistical baselines to deep learning, Support building stable MLOps setups across environments, Present technical concepts and communicate with clients during sales processes, Stay current with time series and forecasting developments
Seniority
Senior, hands-on IC