01 ago - Milano
Luxottica
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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, Oliver Peoples, Vogue Eyewear and Costa), as well as a network that offers consumers high-quality vision care and best-in-class shopping experiences (such as Sunglass Hut, LensCrafters, Salmoiraghi & Viganò and the GrandVision network), and leading e-commerce platforms.
Join our global community of over
190,000
dedicated
employees
around the world in driving the transformation of the eyewear and eyecare industry.
Your #FutureInSight with EssilorLuxottica
Are you willing to pioneer new frontiers, foster inclusivity and collaboration, embrace agility, ignite passion, and make a positive impact on the world? Join us in redefining the boundaries of what's possible.
Your role
The Data Scientist is responsible for the design, development and industrialization of scalable machine learning solutions across EssilorLuxottica's value chain. The role ensures the delivery of production-grade AI systems integrated into business processes, generating measurable impact.
The position works in close collaboration with multiple business functions.
Main responsibilities:
Design, develop, and deploy end-to-end machine learning solutions, ensuring scalability, reliability, and performance
Build and maintain data pipelines, feature engineering workflows, and model training processes
Manage the full ML lifecycle, including validation, deployment, monitoring, and retraining
Partner closely with business stakeholders to translate business requirements into technical solutions
Identify and deliver high-impact AI use cases aligned with enterprise priorities
Contribute to scalable ML frameworks and reusable components for enterprise-wide deployments
Ensure adoption of MLOps best practices (versioning, monitoring, observability, continuous improvement)
Guarantee compliance with data governance, security, and quality standards
Collaborate with cross-functional teams including data scientists, engineers, and product stakeholders
Main requirements:
Master's degree or PhD in Computer Science, Engineering, Mathematics, or related field
Minimum 5 years of experience in Machine Learning Engineering or similar roles
Strong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn)
Strong understanding of the end-to-end ML lifecycle
Experience with cloud platforms (Azure preferred) and data architectures
Solid software engineering skills (APIs, system design, version control)
Ability to manage complex technical initiatives autonomously
What's in it for you:
In EssilorLuxottica, you are not defined just by your job title. Each career adventure is unique; have a glimpse of some of the benefits you will enjoy as a successful candidate:
Access to our cutting-edge learning platform, Leonardo, and personalized development programs to help you grow professionally and personally.
Enjoy flexible work conditions, health insurance coverage, ticket restaurants, internal rooftop canteen.
Access special offers for employees on a vast range of eyewear, eye care products, and fashion apparel, so you can enjoy our world-class brands firsthand.
Enjoy our "Disconnect Program" a holistic approach to work-life balance, including initiatives for mental health, yoga, jogging sessions, and more, designed to help you recharge and stay healthy.
Our recruitment process may vary; if you are selected, you will be contacted by our recruiters to guide you through the specific steps for your application.
Salary Package:
Supplementary Health insurance coverage
Supplementary Pension Plan
Access to the EssilorLuxottica Corporate Welfare Catalog
Transportation – Discounted pass
Meal Vouchers as per company guidelines
Exclusive employee discounts on company products
Company-provided laptop and mobile phone
Our Diversity, Equity and Inclusion commitment
We are committed to creating an inclusive environment for all employees. We celebrate diversity and provide equal opportunities to all, regardless of race, gender, ethnicity, religion, disability, sexual orientation, or any other characteristic that makes us unique.
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