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Alcon is seeking a Data Analytics & AI/ML Solutions Senior Engineer to turn shopfloor data into actionable intelligence and scalable AI applications. You will bridge operations, OT/IT, and analytics to boost quality, productivity and cost performance globally.
The role focuses on developing data-driven solutions, building predictive models, and deploying MLOps pipelines while ensuring regulatory and cybersecurity compliance across sites.
At Alcon, we are driven by the meaningful work we do to help people see brilliantly. We innovate boldly, champion progress, and act with speed as the global leader in eye care. Here, you’ll be recognized for your commitment and contributions and see your career like never before. Together, we go above and beyond to make an impact in the lives of our patients and customers. We foster an inclusive culture and are looking for diverse, talented people to join Alcon.
As the Data Analytics & AI/ML Solutions Senior Engineer under the Smart Technology Dept, you will be responsible for transforming manufacturing data into actionable business intelligence, predictive insights, and AI-driven solutions that accelerate Alcon's Lights-Out Manufacturing vision. This role bridges manufacturing operations, process engineering, OT/IT systems, and advanced analytics to develop scalable solutions that improve quality, productivity, reliability, and cost performance across global manufacturing sites. The position serves as a solution delivery engineer within the Smart Tech CoE, translating shopfloor challenges into validated, scalable, and reusable AI/ML applications that can be deployed across multiple sites. The CoE's objective is to convert manufacturing problems into secure, scalable solutions and replicate them globally.
In this role, a typical day will include: Develop and deploy data-driven solutions using manufacturing data (e.g., machine data, quality data, MES/SCADA data) for manufacturing performance improvement Build predictive and prescriptive models utilizing production, quality, maintenance, and supply chain data. Analyse manufacturing process variability and identify optimization opportunities. Develop statistical models to improve operational performance and efficiencies (e.g. OEE, yield, scrap reduction, and throughput). Create manufacturing intelligence frameworks to support data-driven decision making. Develop MLOps pipelines to support scalable deployment and model lifecycle management. Ensure solutions comply with GxP, validation, cybersecurity, and data governance requirements. Design executive dashboards and operational control towers that connect with real-time manufacturing KPIs and predictive alerts.
At Alcon, we are committed to helping people see better. We believe patients should have access to quality eye care regardless of their economic circumstances; however, barriers to good eye health exist for patients in both developed and emerging markets. Alcon develops and manufactures innovative devices to serve the full life cycle of eye care needs. Its surgical group is one of the largest makers of equipment used for cataract removal and laser vision correction. Its consumer products include the well-known Opti-Free line of contact lens solutions and related products. Alcon, which was founded in 1945, sells its products in 180 countries worldwide.