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Salary
≈ $53k – $99k per year (Estimated)
Location
In office (Singapore)
Seniority
Senior · 3+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Aug 15, 2026. Alcon scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Alcon is a Swiss eye care company founded in Texas in 1945 that was owned by Nestle and then Novartis before being spun out as an independent listed company in 2019. It operates in two halves: surgical, which supplies the intraocular lenses, phacoemulsification equipment and consumables used in cataract and vitreoretinal surgery, and vision care, which sells contact lenses and eye drops. Headquartered in Geneva and listed in Zurich and New York, it is the largest eye care device company in the world and benefits directly from ageing populations, since cataract surgery is among the most common procedures performed anywhere.

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.

WHAT YOU’LL BRING TO ALCON:

  • Education: Bachelor / Master degree in Data Science, AI or Machine Learning Engineering, Computer Science Engineering.
  • Experience: 3-8 years of direct hands-on experience manufacturing data analytics, AI / ML development in implementing smart factory solutions / industrial digital transformation. Understanding of fast pace GMP manufacturing environment would be added advantages.
  • Comfortable to be based at Tuas site, transport provided from Boon Lay, Kranji and Outram Park MRT.

HOW YOU CAN THRIVE AT ALCON:

  • Good team player
  • Enjoy working with various cross functional team across manufacturing site

Alcon Careers

See your impact at alcon.com/careers

ATTENTION: Current Alcon Employee/Contingent Worker

If you are currently an active employee/contingent worker at Alcon, please click the appropriate link below to apply on the Internal Career site.

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