Lead, Operations Intelligence, Automation
AssemblyAdvanced Manufacturing company
Singapore, SingaporeLead
Data & AI
About the role
TL;DR
Lead AIoT and intelligent automation solutions for manufacturing and operations.
- •The AIoT & Intelligent Automation Solutions Engineer leads the design and delivery of AI-enabled automation solutions incorporating AIoT, edge intelligence, computer vision, intelligent workflow automation, and emerging humanoid-assisted operations.
- •The role focuses on practical implementation, product-style delivery, vendor collaboration, and sustainable deployment across OT and IT environments.
- •Key Responsibilities Design and deploy AIoT, computer vision, and intelligent automation solutions for manufacturing and operations.
- •Integrate sensors, machine data, edge systems, vision systems, AI models, control environments, and enterprise applications.
- •Lead pilot execution for use cases such as machine monitoring, asset intelligence, assisted inspection, anomaly detection, and semi-autonomous workflows.
- •Evaluate humanoid-enabled and intelligent automation opportunities for repetitive, constrained, hazardous, or ergonomically challenging tasks.
- •Apply project and product management practices to define requirements, roadmap, MVP scope, success metrics, deployment plan, and adoption approach.
- •Requirements Bachelor’s or Master’s degree in Engineering, Mechatronics, Automation, Computer Engineering, AI, Computer Vision, or related field.
- •Minimum 4 years of experience in intelligent automation, AIoT, computer vision, smart manufacturing, industrial digitalization, or AI-enabled automation delivery.
- •Strong knowledge of OT/IT architecture segregation, industrial connectivity, machine data, edge systems, cybersecurity constraints, and deployment execution.
- •Experience managing automation projects or products from concept, business case, pilot, implementation, handover, and scale-up.
- •Proven ability to work with vendors, system integrators, engineering teams, operations, OT, IT, and cybersecurity stakeholders.
Required skills
Computer VisionProject ManagementProduct ManagementPython
Nice-to-have skills
LLMs
Domain expertise
ai
Tech stack
Computer VisionPython