AI Machine Learning - Intern

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 the “Factory Digital Intelligent” initiative, to make better decisions 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:

You will work with our Data Scientists and Data Engineers to research and develop a 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 costs.

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-world 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's or master's students in Computer Science or Computer Engineering

Your experience includes:

Location:

Location: Woodlands, Singapore, W3
Travel: None