Machine Learning Data Engineer (Mid-Level DE/ML Generalist) at Kalibri Labs | Torre
Machine Learning Data Engineer (Mid-Level DE/ML Generalist)
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Machine Learning Data Engineer (Mid-Level DE/ML Generalist)

You will own production AI/ML data pipelines, driving profit opportunities in hospitality with predictive analytics.
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Full-time

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Shared by
Jose Aldave
3 months ago

Requirements and responsibilities


Own production data pipelines and feature-engineering workflows powering core AI/ML products in the hospitality industry. Bridge data engineering and machine learning as a hands-on generalist. The role requires 3–5 years of relevant experience as a Data Engineer or ML Engineer, strong Python for data pipeline development, solid SQL and cloud data warehouse experience (Snowflake preferred; Databricks or Redshift also fine), and hands-on ML work with forecasting or time-series models. Experience with orchestration tools (Prefect, Airflow, or similar) and dbt. This is a production-focused role with high ownership.