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The Operation Training Department equips our employees with essential skills and knowledge for excellence in manufacturing. We design and implement robust training programs to prepare our workforce for modern media production challenges. Our goal is to foster continuous learning and improvement, enabling employees to maintain high operational standards and adapt to evolving industry demands.
As an intern reports directly to the Training Supervisor under Operation Training Department. We are seeking a proactive and tech-savvy intern to join Seagate's Media Manufacturing Operation Training Department. This internship offers a unique opportunity to gain exposure to manufacturing training processes while contributing to Generative AI (Gen AI) projects that enhance workforce development and operational efficiency.
Our Woodlands site is one of the largest electronics manufacturing sites in Singapore, housing our recording media operations. Spread over three sites, it is easily accessible via bus or from the MRT Station, with many employees taking mass transportation to work. Here at work, you can enjoy breakfast, lunch, dinner, and snacks at our onsite canteen and coffee shop. We offer a range of facilities including an in-house gym and dance studio, as well as after-work badminton and table tennis competitions. On-site celebrations and community volunteer opportunities also abound.
Location: Woodlands, Singapore, W2
Travel: None
With more than four decades of storage innovation, Seagate empowers humanity to thrive in the data age and helps people and businesses navigate the ever-expanding data landscape. We craft precision-engineered, cutting-edge solutions that help the world store and manage exponential data growth. Seagate is powered by our talented and passionate workforce of 29,000 employees across the globe who embody our core values: integrity, innovation, and inclusion. Striving towards excellence every single day, we show up with these values for our customers, business partners, shareholders, and communities alike. Join us and get inspired to make a difference in the datasphere!
Job ID: 137892373