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Chief Data Strategist
2 weeks ago
Gleantap's AI-native platform transforms customer engagement.
Key Responsibilities:- Develop scalable data pipelines for actionable insights.
- Train predictive models to forecast business outcomes using Python, scikit-learn, LightGBM, and XGBoost.
- Build real-time inference services to serve predictions into production systems.
- Establish retraining and monitoring pipelines with Airflow and MLflow to ensure data quality.
- Experience in data engineering or machine learning with 3–5+ years of hands-on expertise.
- Strong proficiency in Python, SQL, and one or more machine learning libraries.
- Understanding of data-driven systems and event-based architectures.
- Familiarity with the machine learning lifecycle, including training, serving, monitoring, and retraining.
- Efficient model deployment tools like MLflow and BentoML.
- Experience with bandit algorithms or uplift modeling to drive business growth.