Ai Machine Learning

3 days ago

Singapore Seagate Technology Full time

**About our group**:
We are a team of IT (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 maintenance, 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 “Smart Factory” initiative, to make better decision and maximize operational excellence.

**About the role - you will**:
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**:

- 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 or any related fields

**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

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