About our group:
We are a team of GFIT (Global Factory Information Technologies) professionals from Seagate. We are responsible for creating and implementing data-driven solutions to support business decisions and operations. The use of AI and ML allows for real-time data analysis and decision making, predictive product performance, and the optimization of production processes. We collaborate with the business teams to harness the full potential of Industry 4.0 - Real-time control, IoT, Big Data and Analytics, Automation and Artificial Intelligence to support “Factory Digital Intelligent” initiative, to make better decision and maximize operational excellence.
 
We are looking for people who are curious, inventive, smart, hardworking, and work to be a little better every day. About the role - you will:
About the Role:
You will work with our Data Scientist and Data Engineers to research and develop smart factory platform, powered by machine learning, that can provide the following capabilities:



Detection of fault and performance degradation
Prediction of process/equipment KPOVs



You will have the chance to drive meaningful impact at Seagate by designing, building, tuning, and deploying machine learning models that help reduce capital spending and operational cost.About you:
About You
We are looking for candidates who are highly passionate about data science and want to apply AI/machine learning/deep learning techniques to solve real-word problems.

Self-motivated, independent and a team player with strong analytical skills


Good at Python programming
Familiarity with AI Machine learning techniques, frameworks, and libraries.
Bachelor or master's students in Computer science, computer engineering
Your experience includes:
Location:
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, W3
Travel: None