(Junior) Machine Learning Engineer (m/w/d)
Core
End-to-End development and implementation of Machine Learning and Deep Learning projects for clients, focusing on time series forecasting, tabular ML, and causal inference.
Role type
Junior Machine Learning Engineer (Applied Data Science)
Builds
Production ML models and forecasting solutions for enterprise clients
Domain
Data & AI consulting, Time Series Forecasting, Causal Inference
Deliverable
production ML models
Required skills
Time series forecasting, Tabular machine learning, Causal inference, Statistical modeling, Model deployment, Cloud infrastructure (Azure/AWS/GCP), Experiment design, Uncertainty quantification
Preferred skills
Deep learning, Decision optimization, Robust ML pipeline construction
Technologies
Azure, AWS, GCP
Responsibilities
Develop and implement ML/Deep Learning projects for time series and forecasting use cases; Design, implement, validate, and deploy ML models on tabular and time series data; Build robust, scalable ML pipelines; Collaborate with stakeholders and clients to ensure project alignment; Work with experienced consultants and data scientists to develop technical and advisory skills.
Seniority
Junior, hands-on IC
