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Data & ML Platform Engineer (hybrid)
Guide the design and implementation of ML model training and deployment platforms.
Toronto
Mid-Level
3 weeks 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 ML platform components to support various teams.
- The engineer will be responsible for optimizing the ingestion of large volumes of structured and unstructured data.
- The position includes guiding the design and implementation of platform components for ML model training, deployment, and monitoring.
- Continuous improvement of data and ML workflows through automation and innovative solutions is a key responsibility.
- The engineer will take full ownership of projects, ensuring successful delivery from planning to execution.
âš¡ Requirements
- The ideal candidate will have over 4 years of software development experience, particularly in data and machine learning.
- A strong proficiency in SQL, Python, and Databricks is essential for success in this role.
- Experience with tools such as Airflow, Kafka, and Redshift will be highly beneficial.
- The candidate should possess strong problem-solving skills and a strategic mindset, with a keen attention to detail.
- Effective communication and collaboration skills are necessary to work with both technical and non-technical stakeholders.
About Homebase
Personalized rent-to-own real estate financing using technology in SEA