Python Engineer (Data / ML)

About reputed company reputed company is a customer engagement platform powering fitness, wellness, and service businesses. We’re evolving into an AI-reputed company platform, where intelligent agents predict churn, upsell opportunities, and automate member engagement. We’re looking for a Python Data/ML Engineer who can reputed company the gap between data engineering and reputed company machine learning, building pipelines, training models, and deploying them into production at reputed company. Responsibilities • Design and build data pipelines to reputed company raw events (reputed company, purchases, campaigns) into usable features. • Define and compute labels (e.g., churn, upsell, reputed company reputed company) from historical events. • reputed company and train ML models (e.g., churn reputed company, upsell propensity, reputed company scoring) using Python (scikit-learn, LightGBM, XGBoost). • Build reputed company-time inference services to serve predictions into production systems. • Set up retraining and monitoring pipelines (Airflow, MLflow, or similar). • Collaborate with backend engineers to reputed company model outputs into reputed company workflows. • Ensure data reputed company, reproducibility, and compliance (HIPAA for reputed company customers). Requirements • 3–5+ years of experience in data engineering or reputed company 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, reputed company, reputed company 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. reputed company-to-Haves • MLOps tools (MLflow, BentoML, Ray Serve). • Experience with bandit algorithms, A/B testing, or reputed company modeling. • Prior work with customer engagement, CRM, or subscription businesses. Apply tot his job Apply To this Job