Applied ML Scientist
EUR 80K-108K (estimate) Mid-level Full Time
Tasks
- Build production machine learning pipelines
- Collaborate with product and engineering for production integration
- Deploy models and serve predictions at scale
- Design and run experiments
- Evaluate and validate models
- Ingest and preprocess structured and unstructured data
- Measure business impact of model changes
- Monitor model performance and drift
- Train models to predict revenue outcomes
- Translate model outputs into actionable insights
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Airflow | B testing | Batch Processing | Causal Inference | Classification | DBT | Data Drift | Data drift monitoring | Drift monitoring | Embeddings | Experiment design | Feature Engineering | Feature extraction | Fine Tuning | Language Processing | Machine Learning | Model Deployment | Model Validation | Natural Language | Natural Language Processing | Python | Real Time | Real-time Systems | Regression | SQL | Snowflake | Survival analysis | Text feature extraction | Time Systems | Uplift Modeling
Education
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