Data & ML Engineer

Company: EssilorLuxottica

Location: Dallas, TX 75204

Type: Full-time

Level: mid

Posted: 2026-02-24

About this role

Requisition ID: 918774
Store #: A00152 Tech Srvcs Wholesale DAL-T
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. We offer our industry stakeholders in over 150 countries access to a global platform of high-quality vision care products such as the Essilor brand, with Varilux, Crizal, Eyezen, Stellest and Transitions, iconic brands that consumers love such as Ray-Ban, Oakley, Persol and Oliver Peoples, as well as a network that offers consumers high-quality vision care and best-in-class shopping experiences such as Sunglass Hut, LensCrafters, and Target Optical, and leading e-commerce platforms.

Our portfolio of more than 150 renowned brands span various categories, from frames, lenses and instruments to brick and mortar and digital distribution as well as mid-range to premium segments. Our Shared Services Team, accompany and enable others within the EssilorLuxottica collective to achieve their targets. They keep people and projects running smoothly, ensuring every part of our business is provided for and well taken care of.

Join our global community of over 200,000 dedicated employees around the world in driving the transformation of the eyewear and eyecare industry. Discover more by following us on LinkedIn!

GENERAL FUNCTION
The Data & ML Engineer designs, builds, and operates scalable, secure, and reliable data and machine learning platforms primarily on Azure, with exposure to AWS and GCP when applicable. This role requires expertise in Python or Scala, data processing frameworks (e.g., Spark), and container orchestration tools like Kubernetes. Strong proficiency in CI/CD, DevOps, and MLOps is essential to support the deployment and operationalization of analytics and AI solutions. The role partners closely with Applied Data Scientists t...

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