Machine Learning Engineer Lead
3 weeks ago
About this role
The Machine Learning Engineer Lead will be responsible for ensuring that the Machine Learning models get the right data at the right time to deliver correct results. This role works closely with the Data Scientist, Cloud and Data Engineering organization for new solution development and operations. This role helps to maximize the ROI on data and technology by enabling ML Models to scale, maintaining models, and assisting in the development of ML models.
Key Responsibilities:
- Lead, manage and develop the ML Engineering group in the Toronto office.
- Responsible for the internal and external labor applied to ML Engineering projects.
- Manage the ML engineering budget and estimation process.
- Implement machine learning algorithms and customized libraries.
- Assist Data Science team with development of complex tools, models or database builds.
- Collaborate with data engineers and data scientists to develop data and model pipelines.
- Improve existing Machine Learning models.
About us
Kraft Heinz is a leading food company that believes in growing its people to grow its business. We offer a range of benefits and perks, including medical, dental and vision coverage, 7% 401(k) matching, Business Resource Groups (BRGs) to help foster diversity, inclusion, and belonging for all employees, an industry-leading total rewards package that emphasizes a high discretionary bonus.
Location(s)
Toronto – Queen's Quay – Headquarters
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