Job Description

About our group:

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 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 to maximize human potential.

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 \xe2\x80\x9cSmart Factory\xe2\x80\x9d initiative, to make better decision and maximize operational excellence.

About the role - you will:

Work with automated machine learning (AutoML) exposure which is the process of automating the tasks of applying machine learning to real-world problems. The intended aim of AutoML is to assist data scientists in their work and not replace them. It is also a good option for building models and allowing non-experts to contribute to the machine learning domain.

You will support and work with our Data Scientist and Data Engineers in these functions on site and NOT remotely:

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: EvalML, H2O.ai and PyCaret

Your Seagate Journey with us:

• Within 1 month, you have opportunities to gain knowledge in Auto Machine Learning and application of Python programming when required
• Within 3 months, you have will have hands-on experience and global exposure in Auto Machine Learning in factory environment

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 effective analytical skills

Good at Python programming

Undergraduates of Bachelor Degree in Computer Science and Computer Engineering

Your experience includes:

• Hands-on assignments involving Python Programming or Machine Learning will be an added advantage
• Familiarity with AI Machine learning techniques, frameworks, and libraries
• Application of Data Science is an added advantage

Location:

Our Penang office is based in Suntech at Cybercity. Easily accessible from two bus stops, many employees take mass-transportation to work. Enjoy our on-site gym, test your ping-pong skills, or take on your colleagues in a badminton match after work. You can grab breakfast, lunch and coffee at our on-site cafe. Prefer to eat off-site? The public food court across the street offers many delicious options.

Location: Penang Malaysia Suntech
Travel: None

Innovation thrives in a culture that embraces different voices, where employees are equal contributors and are empowered to express themselves authentically. Building this culture takes constant work and willingness to be transparent about progress. Read more in our Diversity, Equity, and Inclusion, .

- Learn more about our commitment to the U.S. military and veteran community by watching this .
- 4th year in a row as a Best Employer for LGBTQ+ Equality
- 4th year in a row as a Best Company for Women in Technology

About Us

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, passionate, and diverse workforce of 40,000 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!

Seagate provides an environment where equal opportunity is available to all. All qualified applicants will receive consideration for employment without regard to age, race, color, ancestry, ethnic or national origin, physical or mental disability, medical condition, genetic information, marital status, sex (which includes pregnancy or perceived pregnancy, childbirth, breastfeeding, or related medical conditions), gender, gender identity, gender expression, sexual orientation, perceived or actual religious creed or political opinion, military and veteran status, taking or requesting statutorily protected leave, taking or requesting a reasonable accommodation for a protected basis, or other basis protected by applicable law. Company-sponsored training, education, degree assistance, and social and recreational programs are also included. , , & .

Seagate believes that vaccines are one of the most powerful tools to fight COVID-19 and maintain a safer workplace. We implement vaccine mandates where legally required or when the company determines that a mandate is necessary for the protection of workers.

United States - Proof of a completed COVID-19 vaccination is required for all US-based employees of Seagate. Subject to federal, state, and local laws and regulations, this requirement applies to all employees and locations in the United States including those employees working remotely. Seagate will consider exceptions to this policy for medical or religious reasons on an individualized basis.

For information on how Seagate collects and uses your personal information during the application process, please review the applicant privacy statement.

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