Machine Learning Engineer Lead

2 weeks ago


Old Toronto, Canada Heinz Full time
Machine Learning Engineer Lead

At Kraft Heinz, the Machine Learning Engineer Lead plays a crucial role in the development and implementation of advanced analytics insights. This position is responsible for ensuring that machine learning models receive the necessary data at the right time to produce accurate results. The Machine Learning Engineer Lead works closely with the Data Scientist, Cloud and Data Engineering organization to develop new solutions and manage operations.

Main Responsibilities:
  1. Lead, manage, and develop the ML Engineering group in the Toronto office.
  2. Responsible for the internal and external labor applied to ML Engineering projects.
  3. Implement machine learning algorithms and customized libraries.
  4. Assist Data Science team with the development of complex tools, models, or database builds.
  5. Collaborate with data engineers and data scientists to develop data and model pipelines.
  6. Improve existing Machine Learning models.


Requirements:
  1. Have an understanding of major modeling techniques and how to apply them (Linear and Logistic Regression, Bayesian, Time series, Confidence interval, Deep Learning, etc.).
  2. Have experience in managing technical teams delivering and supporting analytical capabilities.
  3. Have hands-on experience with analytical tools (preferably AzureML, Vertex, SageMaker, Snowflake, DataBricks, Tableau, Alteryx, SQL, Python, and/or R).
  4. Have working knowledge of LLM operations (including fine-tuning and grounding techniques) and prompt engineering best practices.
  5. Have strong experience developing CI/CD pipelines.
  6. Be fluent in version control tools and practices (Github, Azure DevOps).

Location(s): Toronto - Queen's Quay - Headquarters

Kraft Heinz is an Equal Opportunity Employer – Underrepresented Ethnic Minority Groups/Women/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity and other protected classes.

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