Senior Manager, Data Science - Ml Ops - $109,400 - $150,480 A Year (Mississauga)

Senior Manager, Data Science - Ml Ops - $109,400 - $150,480 A Year (Mississauga)

01 Aug
|
Walmart
|
Mississauga

01 Aug

Walmart

Mississauga

Position SummaryThe role defines strategy, requirements, and delivers scalable ML platforms, operational frameworks, and tooling that power Machine Learning and AI initiatives across the organization. The position collaborates across business and technology functions to ensure reliable model deployment, governance, and performance, while introducing innovative MLOps and supporting DevOps practices that strengthen automation and delivery pipelines.What You'll DoLead the strategy and execution of ML Operations, ML Platform, and Model Lifecycle Management functions, managing resource prioritization to maximize reliability, automation, and operational excellence. Integrate ML engineering, data science, and platform capabilities with business needs to deliver production‐grade ML solutions with measurable impact. Collaborate with senior stakeholders in Operations, Merchandising, Finance, Technology, and Marketing to identify opportunities where improved ML pipelines, platform tooling, or automation can enhance performance, reduce friction, or scale AI solutions enterprise‐wide.As a subject matter expert in ML systems and operational best practices, oversee model deployment strategies, CI/CD pipelines for ML workflows, monitoring and observability frameworks, and automated retraining processes. Ensure that production models meet standards for performance, reliability, and governance. Build and execute a long‐term roadmap to elevate ML operational maturity by researching, piloting, and introducing innovative technologies in orchestration, feature engineering, model serving, and platform automation. Light DevOps responsibilities, including infrastructure automation for ML workloads, containerization best practices, and collaboration with platform engineering, support this mission. Incorporate targeted data engineering activities such as enabling data ingestion, transformation, and movement into ML‐ready environments to ensure that modeling pipelines are supplied with high‐quality,



well‐structured data.Partner with Data Science, Engineering, Architecture, and DevOps leaders across the organization to share best practices, operational standards, and platform technologies, collaborating to advance enterprise ML capabilities. Lead a cross‐functional team of ML engineers, platform engineers, and other specialists to envision, build, test, and deliver robust systems that enable impactful and reliable AI experiences at scale.Qualifications – Must Have4–6 years of expertise in infrastructure automation to support scalable ML workloads.4–6 years of hands‐on experience with container orchestration platforms, including Kubernetes.Proven ability to design and manage multi‐cloud deployments for ML systems.Solid proficiency in ML lifecycle orchestration, including model training, deployment, monitoring, and retraining workflows.Qualifications – Nice To HaveExperience working with or building on Walmart's Element platform.Pay range: $109,400.00 – $150,480.00. Pay will be determined based on relevant experience.L'échelle salariale pour ce poste est de 109 400,00 à 150 480,00. La rémunération sera déterminée en fonction de l'expérience pertinente.Minimum QualificationsAge – 16 or olderPreferred Qualifications / EEO StatementWalmart will accommodate the disability‐related needs of applicants and associates as required by law.Important note: To support resume screening, interviews and other candidate evaluations, we may use artificial intelligence‐powered tools, including internal or third‐party developed automated decision‐making tools. For more information, please see Walmart Canada Job Applicant Privacy Notice.Primary Location1940 Argentia Rd, Mississauga, ON L5N 1P9, CanadaApplication ProcessAre you currently a Walmart associate? Please login to your Workday account and use the Find Jobs report to apply for this job.Find JobsSeniority LevelMid‐Senior levelEmployment TypeFull‐timeJob FunctionEngineering and Information TechnologyIndustries: Retail, Manufacturing, and Retail Groceries#J-18808-Ljbffr

📌 Senior Manager, Data Science - Ml Ops - $109,400 - $150,480 A Year (Mississauga)
🏢 Walmart
📍 Mississauga

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