Machine Learning Data Engineer (Mid-Level DE/ML Generalist)

Kalibri Labs

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Full-time

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Remote (anywhere)

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5 months ago

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.

About Kalibri Labs:

Powered by unmatched transaction-level data and predictive AI, Kalibri pinpoints profit opportunities, streamlines commercial decisions, and helps find cash flow opportunities and grow asset value.

mission:

Discovery | Analytics | Insights

Reputation:

Signalers: 1

www.kalibrilabs.com/

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