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Data & ML Engineer

Ess*** · Mason, OH, United States
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Mason, OH, United StatesOnsite
Remuneration
Not specified
Location
Mason, OH, United States
Visa sponsorship
Sponsors visa

Job summary

Requisition ID: 934461 Store #: A00090 Wholesale TA CSCLX Position: Full-Time Total Rewards: Benefits/Incentive Information If you’ve worn a pair of glasses, we’ve already met. We are a global leader in the design, manufacture, and distribution of ophthalmic lenses, frames, and sunglasses.

Benefits

Incentive InformationIf you’ve worn a pair of glasses, we’ve already met.We are a global leader in the design, manufacture, and distribution of ophthalmiOur Shared Services Team, accompany and enable others within the EssilorLuxotticThey keep people and projects running smoothly, ensuring every part of our businDiscover more by following us on LinkedIn!GENERAL FUNCTIONMay include health care, retirement savings, paid time off/vacation, and variousEssilorLuxottica complies with all applicable laws related to the application anWe are an Equal Opportunity Employer.Native Americans in the US receive preference in accordance with Tribal Law.

Qualifications

  • Master’s degree in Computer Science, Engineering, or related discipline
  • Experience with Azure Databricks, Spark, Synapse, and MLFlow
  • Experience with Docker, AKS, APIs, and containerized ML workloads
  • Experience with orchestration
  • into scalable engineering solutions
  • Strong collaboration
  • In addition, you may also be offered a competitive bonus and/or commission plan, which complements a first-class total rewards package.

Responsibilities

  • Managing
  • Managing the design, development, and operation of large-scale data ingestion, transformation, and storage pipelines
  • Managing ML infrastructure, CI/CD, DevOps, and MLOps pipelines to support model training and deployment
  • Managing platform performance, cost optimization, reliability, and availability
  • Managing data security, governance, and regulatory compliance across platforms
  • Managing collaboration with Applied Data Scientists to productionize models
  • Organizing
  • Designing and organizing ETL/ELT workflows using Azure Data Factory and orchestration

Skills

SAP

Degrees

AssociateDegree

Industry

AutomotiveDefenseHealthcareManufacturingRetail

Company size

EnterpriseSmb