Senior AI/ML Data Analytics Engineer - Smart Factory

Alcon; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Alcon is seeking a Data Analytics & AI/ML Solutions Senior Engineer to transform manufacturing data into actionable insights and scalable AI-driven solutions for Lights-Out Manufacturing. This role partners with manufacturing operations, OT/IT systems, and the Smart Technology CoE to deliver validated applications across global sites.

The ideal candidate has 3–8 years of hands-on experience in manufacturing data analytics and AI/ML development, with knowledge of GMP environments and a readiness

Qualifications

• 3–8 years of hands-on experience in manufacturing data analytics and AI/ML deployments.
• Experience implementing smart factory solutions / industrial digital transformation.
• Familiarity with GMP/quality-focused manufacturing environments is a plus.

Responsibilities

• Develop and deploy data-driven solutions using manufacturing data for performance improvements.
• Build predictive and prescriptive models from production, quality, maintenance, and supply data.
• Analyze process variability and identify optimization opportunities.
• Develop statistical models to improve OEE, yield, scrap reduction, and throughput.
• Create manufacturing intelligence frameworks to support data-driven decisions.
• Develop MLOps pipelines for scalable deployment and lifecycle management.
• Ensure solutions comply with GxP, validation, cybersecurity, and data governance requirements.
• Design executive dashboards and real-time KPIs and predictive alerts.

Skills

Data analytics

AI/ML development

Manufacturing data

Education

Bachelor / Master in Data Science or AI/ML Engineering or CS

Tools

MES/SCADA

MLOps

Cybersecurity tools

Job description

Alcon is seeking a Data Analytics & AI/ML Solutions Senior Engineer to transform manufacturing data into actionable insights and scalable AI-driven solutions for Lights-Out Manufacturing. This role partners with manufacturing operations, OT/IT systems, and the Smart Technology CoE to deliver validated applications across global sites.

The ideal candidate has 3–8 years of hands-on experience in manufacturing data analytics and AI/ML development, with knowledge of GMP environments and a readiness