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AI-Powered Insights Specialist

3 weeks ago

Mangalore, Karnataka, India beBeeDataEngineer Full time US$ 80,000 - US$ 1,60,000

Gleantap is a customer engagement platform powering fitness, wellness, and service businesses.

We're evolving into an AI-native platform where intelligent agents predict churn, upsell opportunities, and automate member engagement.

  • We're seeking a Data/ML Engineer who can bridge the gap between data engineering and applied machine learning.
Responsibilities
  • 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 workflows.
  • Ensure data quality, reproducibility, and compliance (HIPAA for healthcare customers).
Requirements
  • 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.