Material Technologist (Based at Silueta, Biyagama) Silueta (Pvt) Ltd, a wholly owned subsidiary of MAS Holdings, specialises in no-sew bonding technology and advanced thermal moulding capabilities. With operations in Sri Lanka and additional facilities in India
Intern - Materials Engineering Twinery - Innovations by MAS is a core pillar at MAS. We develop scientific and engineering solutions that transform the human/textile interface, putting groundbreaking, life-improving technologies right next to your skin. Our
Intern - Innovation (Based at Bodywear - Rathmalana) The Bodywear Value Stream of MAS Holdings delivers end-to-end design, innovation and manufacturing solutions across lingerie, swimwear and next-to-skin categories. It brings together broad expertise in fit, comfort,
Manager ‐ Data Analytics and Governance (Based at Battaramulla) MAS is Sri Lanka’s largest exporter and South Asia’s largest design-to-delivery solution providers in apparel and textile manufacturing. With a global community of 100,000, today, MAS spans
Intern - Product Development (Based at Biyagama) The Activewear Value Stream delivers high-performance sportswear and athleisure solutions designed for technical functionality, durability and everyday versatility— serving sports, lifestyle and performance segments. With a strong focus on
Executive ‐ Dye House Based at Linea Intimo Biyagama The Activewear Value Stream delivers high-performance sportswear and athleisure solutions designed for technical functionality, durability and everyday versatility— serving sports, lifestyle and performance segments. With a strong
Intern – Sourcing & Supply Chain (Based at MAS Linea Intimo - Biyagama) The Activewear Value Stream delivers high-performance sportswear and athleisure solutions designed for technical functionality, durability and everyday versatility— serving sports, lifestyle and performance
Key Responsibilities: · Supervise and coordinate all Weft Knitting production activities during the assigned shift. · Ensure production targets are achieved according to the planned schedule and machine allocation. · Monitor machine performance, efficiency, downtime, and