Python Engineer (Data / ML)

Descrição da Vaga

Requisitos

• 3–5+ years of experience in data engineering or applied ML
• Strong proficiency in Python, SQL, and one or more ML libraries (scikit-learn, LightGBM, XGBoost, PyTorch)
• Experience with data pipelines (Airflow, dbt, or custom ETL)
• Comfortable with event-driven systems (Kafka, Redis, ClickHouse or similar OLAP)
• Understanding of ML lifecycle: training, serving, monitoring, retraining
• Ability to design time-based labels (avoiding data leakage)
• Strong problem-solving skills and eagerness to work in a startup environment
• Experience with bandit algorithms, A/B testing, or uplift modeling
• Prior work with customer engagement, CRM, or subscription businesses

Responsabilidades

• Design and build data pipelines to transform raw events (visits, purchases, campaigns) into usable features
• Define and compute labels (e.g., churn, upsell, lead quality) from historical events
• Develop and train ML models (e.g., churn prediction, upsell propensity, lead scoring) using Python (scikit-learn, LightGBM, XGBoost)
• Build real-time inference services to serve predictions into production systems
• Set up retraining and monitoring pipelines (Airflow, MLflow, or similar)
• Collaborate with backend engineers to integrate model outputs into Gleantap workflows
• Ensure data quality, reproducibility, and compliance (HIPAA for healthcare customers)