Data Science Team Lead for Machine Learning
2 weeks ago
We are seeking an experienced Data Science Team Lead to lead our Machine Learning Engineering group in Toronto. As a key member of our team, you will be responsible for developing and implementing machine learning algorithms and customized libraries.
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.
- Implement machine learning algorithms and customized libraries.
- Assist Data Science team with the development of complex tools, models or database builds.
- Collaborate with data engineers and data scientists to develop data and model pipelines.
- Must have hands-on experience with analytical tools (AzureML, Vertex, SageMaker, Snowflake, DataBricks, Tableau, Alteryx, SQL, Python, and/or R).
- Must have working knowledge of LLM operations (including fine-tuning and grounding techniques) and prompt engineering best practices.
- Must have strong experience developing CI/CD pipelines.
- Must be fluent in version control tools and practices (Github, Azure DevOps).
$150,000 - $200,000 per year, depending on experience.
Location:Toronto, Ontario, Canada.
About Us:Kraft Heinz is an Equal Opportunity Employer – we value diversity and inclusion in the workplace.
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