(can) Senior, Data Scientist - Ml Ops Engineering

Walmartpr

Mississauga, ON, Canada
Base: $91,900.00 - $126,390.00; bonus/equity: not ...
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Ml model deployment and lifecycle management
Cloud infrastructure setup and application hosting
Ci/cd pipelines for ml
** Walmart is seeking a Senior Data Scientist specializing in ML Ops Engineering to drive a data-driven culture and enhance AI initiatives. The ideal candidate will operate scalable machine learning platforms while ensuring compliance and security within the organization's technological ecosystem. **

Job Summary

  • This role drives a data-driven culture by leveraging diverse data sources to understand customer behavior, improve operational efficiencies, and provide actionable insights for smarter decision-making.
  • We are seeking an ML Ops Engineering expert to design, build, and operationalize scalable machine learning platforms and deployment frameworks that power AI initiatives across the organization.
  • The role plays a critical part in advancing ML operational maturity by strengthening automation, observability, infrastructure best practices, and secure deployment patterns across the organization.

Matching Summary

Match Score: 75

** Walmart is seeking a Senior Data Scientist specializing in ML Ops Engineering to drive a data-driven culture and enhance AI initiatives. The ideal candidate will operate scalable machine learning platforms while ensuring compliance and security within the organization's technological ecosystem. **

Salary

Base: $91,900.00 - $126,390.00; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • ML model deployment and lifecycle management
  • Cloud infrastructure setup and application hosting
  • CI/CD pipelines for ML
  • Containerization and orchestration
  • Security, governance, and compliance processes

Nice-to-have

  • Data-driven culture
  • Entrepreneurial and business-focused team
  • Growth mindset
  • Continuous improvement

Key Requirements

  • ML model deployment and lifecycle management
  • Cloud infrastructure setup and application hosting
  • CI/CD pipelines for ML and application workflows
  • Containerization and orchestration (Docker, Kubernetes)
  • Security, governance, and SSP / InfoSec compliance processes
  • Cross-functional collaboration

Work Rights

Not specified

Tailored Resume

Cover Letter