(Junior) Machine Learning Engineer (m/w/d)
Core
End-to-End Machine Learning projects for clients focusing on time-series forecasting, tabular ML, and causal inference.
Role type
Junior Machine Learning Engineer (Consulting)
Builds
Production ML models for demand forecasting, pricing, anomaly detection, and predictive maintenance.
Domain
Data & AI Consulting / Time-Series Forecasting
Deliverable
production ML models
Required skills
Python, Machine Learning, Statistics, Time-Series Forecasting, Causal Inference, Model Deployment, Cloud Platforms (Azure/AWS/GCP)
Preferred skills
Time-Series Foundation Models (TimesFM, Chronos, Moirai), MLOps, Probabilistic Modeling
Technologies
Python, Azure, AWS, GCP, LightGBM, XGBoost, N-BEATSx, N-HiTS, TFT, PatchTST, ARIMA, ETS
Responsibilities
Design, implement, validate, and deploy ML models for time-series and tabular data; Build and maintain scalable ML pipelines; Collaborate with stakeholders and clients to define project scope; Work with experienced consultants and data scientists to develop forecasting solutions.
Seniority
Junior, hands-on IC
