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Data & ML Platform Engineer (hybrid)
Guide the design and implementation of ML model deployment and monitoring systems.
Toronto
Mid-Level
4 days ago
Homebase
Personalized rent-to-own real estate financing using technology in SEA
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✨ About The Role
- This role involves designing and implementing data and machine learning platform components.
- The engineer will optimize the ingestion of large volumes of structured and unstructured data.
- The position requires supporting data architecture transformation initiatives on Databricks.
- The engineer will guide the design and implementation of platform components for ML model training and deployment.
- Continuous improvement of data and ML workflows through automation is a key responsibility.
âš¡ Requirements
- The ideal candidate will have over 4 years of software development experience, particularly in data and machine learning.
- Proficiency in SQL, Python, and Databricks is essential for success in this role.
- Experience with tools such as Airflow, Kafka, and Redshift will be beneficial.
- Strong problem-solving skills and a strategic mindset are crucial for navigating complex challenges.
- Effective communication skills are necessary to collaborate with both technical and non-technical stakeholders.
About Homebase
Personalized rent-to-own real estate financing using technology in SEA