Data Scientist

Design, develop, test, and maintain strong and scalable data pipelines using Python and tools for large-scale data processing (like Spark, Dask, or similar on GCP). Design and take ownership of key parts of our ML systems, making sure they are reliable, efficient, and can grow. Set up and manage MLOps practices, including automatic updates for machine learning models (CI/CD), model monitoring, and automated launch plans. Improve and manage data processing jobs on cloud platforms (GCP: Dataproc, BigQuery, Cloud Run, Cloud Build). Work with data scientists to get machine learning models ready for production and connect them to our data systems. Write detailed documents for the system designs, code, and systems you create and manage. Fix complex technical problems in data systems that run on many computers and in ML pipelines.