Machine Learning Engineer

Seagate Technology
Date Posted: 
June 17, 2019
Allan Luk ([email protected])

About Our Group

The Analytics Business Solutions team from Operations & Technology Advanced Analytics Group is seeking a talented Machine Learning Engineer in Singapore for a high profile initiative helping our internal customers turn the data they have into the information they need to develop and deliver industry-leading storage solutions.

About the Role - You will

Be our 'Go-to' Machine Learning Engineer. Focus on Seagate advanced analytics projects related to Machine Learning (ML) and/or Artificial Intelligence (AI).
Develop data mining algorithms, perform data wrangling and exploration
Design, develop and implement appropriate machine learning and deep learning algorithms to solve stakeholders' analytics challenges.
Develop and deliver advanced analytics solutions: web crawling, natural language processing, text analytics, visualization, and dashboard creation. Apply CNN, GAN, RNN, Time Series Analysis, XGBoost, Keras, Tensorflow to provide predictive analytics solutions and extract actionable insights.
Key characteristics defining outstanding candidates:

Teamwork and self-motivated
Fast learning capability
Strong oral and written communication skills.
Self-starter. Ability to drive initiatives and influence. Ability to work alone as well as in a team environment.
A collaborative attitude and a global mindset with an ability to work well with native and non-native English speakers
Able to participate in conference calls outside of regular local work hours
Your Experience Includes

Highly proficient in Python, C/C++, SQL, and R
Solid technical knowledge in machine learning, deep learning, statistical algorithms, data mining, and data structures. Experience with Keras, Tensorflow, XGBoost, CNN, GAN, RNN, and Time Series Analysis.
Demonstrate proficiency in data mining, data wrangling, and experience with JSON, CSV's and MongoDB.
Working experience and hands-on knowledge in web crawling, natural language processing, visualization, and dashboard creation
Experience in version control systems such as Git. Understanding of software development best practices.
Knowledge in Hadoop, Spark. Ability to deploy data science solutions in cloud analytics infrastructure, AWS.
Relevant experience in engineering or science discipline such as Data Science, Computer Engineering, Computer Science, Business Analytics, Software Engineering, Statistics, Mathematics, Data Analytics, Electrical Engineering, Mechanical Engineering, Chemical Engineering and etc.
Thesis or research experience in topics related to natural language processing, artificial intelligence, and machine learning would be a plus.
Proficiency in Java would be a plus
Working knowledge in image and video analytics would be a plus
Travel: 15%

Location: Shugart, Singapore


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