$ cat jobs/senior-software-developer-ml-ops-wealthsimple-086ca18ba50a.json
Senior Software Developer, ML Ops
BUILD SOMETHING PEOPLE LOVE Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers. MACHINE LEARNING PLATFORM TEAM The Machine Learning Platform (MLP) team builds the foundation that every ML and GenAI workload at Wealthsimple runs on. We partner with data science and engineering teams across the company to take models from experimentation to production reliably and at scale. Our responsibilities are to: - Build standardized, framework-agnostic services for model training, efficient inference, evaluation and monitoring — across both traditional ML and GenAI - Provide centralized, governed access to internal and external LLMs - Set the technical direction for how ML and LLM models are trained, shipped and operated across the company THE ROLE We are building a multi-product company with a growing offering including Invest, Cash, Crypto, Trade and Tax products. As a Software Engineer on the Machine Learning Platform team, you will play a pivotal role in our mission to build a self-serve ML Platform to enable data scientists to do their best work. As such, you will work closely with the area owners, data scientists and other software engineers to improve our ML-ops tooling and support the launch of new data products. IN THIS ROLE, YOU WILL HAVE THE OPPORTUNITY TO: - Partner with stakeholders across different product domains, infrastructure to ta
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