Description
Design and validate predictive models to solve business problems. Transform complex datasets into high-quality features for modeling.
Responsibilities
- Build and validate machine learning solutions for specific business needs.
- Process and cleanse large datasets to create effective features.
- Document all models, code, and data pipelines for transparency.
- Present findings and performance metrics via Power BI dashboards.
Required Skills
- 5+ years in statistics, machine learning, deep learning, and programming.
- Expert proficiency in Python (pandas, NumPy, scikit-learn).
- Strong SQL skills for complex data extraction (mandatory).
- Experience with TensorFlow, PyTorch, and AI frameworks.
- Proficiency with Databricks and cloud AI services (AWS, GCP, Azure).
- Understanding of MLOps practices (MLflow, Kubeflow).
- Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.