Related skills
sql python tensorflow pytorch airflow๐ Description
- Research, design, train, deploy and monitor ML algorithms for batch or real-time use.
- Develop orchestrated pipelines for analytical and ML training tasks.
- Automate experiments, training, validation, and monitoring; collaborate with MLOps.
- Collaborate with product managers to translate requirements into ML tasks.
- Explore large datasets to identify patterns and ML opportunities.
- Define KPIs, design experiments, and quantify business impact.
๐ฏ Requirements
- 5+ years in machine learning or data science.
- End-to-end ML lifecycle in production environments.
- Experience building data pipelines with big data tools.
- Strong software engineering, data engineering, and MLOps practices.
- Knowledge of statistics, ML methods; deep learning a plus.
- Proficient with PySpark, SQL, TensorFlow, PyTorch, XGBoost/LightGBM, Pandas, MLFlow, Airflow.
๐ Benefits
- Office-first culture with in-person collaboration in Amsterdam.
- Diversity, Equity and Inclusion commitments.
- Transparent hiring process with timely feedback.
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