Lead the engineering team(s) to execute end-to-end feature implementation within the larger
Design and build new ML and data pipelines, as well as optimizing existing ML and data pipelines.
Build tools for automated quality assurance and data exploration.
Leverage geospatial algorithms to optimize pipelines, as well as creating automated tuning and
Partner with data scientists to make improvements to our models for determining patterns in
Mentor colleagues and participate in code and design reviews.

🎯 Requirements

8-10+ years of backend and ML experience
Extensive experience with Python
Experience with distributed processing pipelines (Hadoop, Spark, Airflow, Dask)
Experience with very large datasets – statistical analysis, data quality control, optimizing storage
Extensive experience with cloud and infrastructure services
Drive a culture of quality and continuous improvement

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