Walmart - Sunnyvale, CA

posted about 1 month ago

Part-time,Full-time - Mid Level
Sunnyvale, CA
General Merchandise Retailers

About the position

We are seeking a Machine Learning Engineer III to join our Data Ventures team at Walmart, focusing on the scaling and deployment of advanced machine learning and deep learning algorithms. This role is pivotal in building a suite of data products that provide actionable insights to merchants and suppliers, enhancing their decision-making capabilities across omni-channel performance. The ideal candidate will collaborate with architects and other team members to implement MLOps best practices and optimize various machine learning models and solutions.

Responsibilities

  • Build and deploy scalable end-to-end data science solutions for data products.
  • Collaborate with data engineers, analysts, scientists, and application developers to create ML and statistics-driven models.
  • Contribute to the MLOps lifecycle, including data monitoring and refactoring data science code.
  • Deploy holistic machine learning solutions after successful prototyping with Data Scientists and Architects.
  • Stay updated with industry best practices and extend the state of the art in machine learning research.

Requirements

  • Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field; or a Master's degree in a related field; or 4 years' experience in an analytics or related field.
  • Strong knowledge of Machine Learning, MLOps, MLflow, Kubeflow, Python/R, SQL, Big Data, GCP, and Shell scripting.
  • Experience integrating ML models with web services.

Nice-to-haves

  • Experience with Agile methodologies and CICD in Machine Learning projects.
  • Knowledge of accessibility best practices and WCAG 2.2 AA standards.
  • Familiarity with open source frameworks like scikit learn, tensorflow, and torch.

Benefits

  • 401(k) match
  • Stock purchase plan
  • Paid maternity and parental leave
  • Paid time off (PTO)
  • Multiple health plans
  • Short-term and long-term disability
  • Company discounts
  • Adoption and surrogacy expense reimbursement
  • Live Better U education benefit program
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