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Ai Ml Intern

3 weeks ago

Singapore Seagate Technology Full time

**About the company**:
Since 1979, Seagate has been creating precision-engineered data storage technologies that deliver superior capacity, speed, safety, and performance. We are a diverse workforce of 40,000 creative, hard-working, passionate people all over the world—Silicon Valley, the Southeast Asia, India, China, the United Kingdom, and beyond. At Seagate, we know that data is always in motion, alive, connected—and we harness it in order to maximize human potential.

**About our group**:
We are a team of IT (Information Technology) professionals from Seagate. We are responsible for creating and implementing data-driven solutions to support business decisions and operations. The use of Artificial Intelligence (AI) and Machine Learning (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 the “Smart Factory” initiative, to make better decisions and maximize operational excellence.

**About the role - you will**:
You will work with our Data Scientists and Data Engineers to:

- Research and propose on a platform or open-source library that simplifies each step in the machine learning process, from handling a raw dataset to deploying a practical machine learning model
- Evaluate AutoML platforms with different dataset, e.g.Tabular dataset and IoT Time series dataset
- Some AutoML platform example:

- Google AutoML (our focus)
- Azure Automated Machine Learning
- Auto Keras
- Auto-sklearn

**About you**:

- Currently pursuing a Bachelor’s/Master’s degree in Computer Science, Computer Engineering, or other related fields
- Highly passionate about data science
- Proactive and a good team player
- Strong analytical skills

**Your experience includes**:

- Proficiency in Python programming
- Familiarity with AI machine learning techniques, frameworks, and libraries

**Location**:
**Location**: Woodlands, Singapore, W3
**Travel**: None