Kalibri13.04.26
AI SCORE 8.5

Machine Learning Data Engineer - Remote Opportunity

$120K–$160K/year

About the Role

At Kalibri, we are on a mission to redefine the hotel industry, and we are seeking a talented Machine Learning Data Engineer to join our dynamic team. This remote position is perfect for passionate individuals who are eager to make a significant impact by leveraging their skills in machine learning and data engineering.

What You'll Do

  • Design, build, and maintain production data pipelines using tools like Python, Prefect, and Airflow.
  • Develop advanced SQL transformations in Snowflake, optimizing performance and ensuring data integrity.
  • Create and manage dbt models for effective data transformation and tracking across multiple pipeline stages.
  • Implement feature engineering pipelines that support machine learning models, including CatBoost and LightGBM.
  • Operationalize ML model outputs, integrating predictions into production databases and outputs.
  • Work with PySpark for large-scale data processing, ensuring efficient data handling across millions of records.
  • Monitor and implement data quality frameworks to maintain high standards of data integrity.
  • Manage CI/CD pipelines using Bitbucket for automated testing and deployment.

Requirements

  • Master's degree or PhD in Computer Science, Data Science, or a related field, or a Bachelor's degree with equivalent experience.
  • 3-5 years of experience as a Machine Learning Engineer or in a similar role.
  • Strong proficiency in Python for data pipeline development and automation.
  • Deep experience with SQL and cloud data warehouses, particularly Snowflake.
  • Hands-on experience with workflow orchestration tools such as Prefect or Airflow.
  • Proficiency with dbt for SQL-based data transformation.
  • Experience with PySpark or similar frameworks for large-scale data processing.
  • Excellent collaboration skills, capable of working with cross-functional teams.

Nice to Have

  • Familiarity with ML frameworks like CatBoost, LightGBM, or scikit-learn.
  • Experience with AWS S3 for cloud data storage and data exchange.
  • Knowledge of data quality frameworks like Monte Carlo or Great Expectations.
  • Background in hospitality or travel industries, with familiarity in metrics such as ADR and RevPAR.

What We Offer

  • Fully remote work with a supportive company culture.
  • Comprehensive medical, dental, and vision plans with options for dependents.
  • 401k plan with employer matching.
  • Flexible Paid Time Off to promote work-life balance.
  • $250 allowance for home office setup to ensure you have the tools you need.
Why This Job8.5 of 10

Kalibri offers a unique opportunity for a Machine Learning Data Engineer to work remotely in a growing company focused on AI solutions for the hospitality industry.

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