Machine Learning Engineer Lead

1 month ago

Old Toronto, Canada Heinz Full time
When you join our table, you can expect access to an array of holistic wellness 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.

*Benefits begin immediately upon hire for salaried employees.

Machine Learning Engineer Group Lead at a glance

The Machine Learning Engineering role is the backbone for the models that drive advanced analytics insights. The role 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.

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