Job Description
To build cutting edge ML solutions throughout the research and product development lifecycle;
To play a key role in the design and development of Borealis’ machine learning products;
To partner with RBC Borealis’s research and product teams to ensure the seamless delivery of these products;
To apply engineering and data best practices to build robust and scalable large-scale machine learning software systems;
To support projects with thorough documentation, design decisions, and technical advisory.
Experience building modular and robust software systems in Python or similar language;
Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews and source control management;
Experience working across the entire ML research and product lifecycle from prototyping to production is a plus;
Experience building microservices, data pipelines and using relational and non-relational databases is a plus;
Experience working with data science tooling and deep learning frameworks is a plus;
Experience with DevOps engineering (CI/CD pipelines, observability, containers etc) is a plus.
Be part of a dynamic & flexible working environment;
Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
Leaders who support your development through coaching and managing opportunities;
Ability to make a difference and lasting impact from a local-to-global scale.
Machine Learning Software Engineer • TORONTO, Ontario, Canada
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