MACHINE LEARNING DEVELOPER


Sembcorp Industries is a leading energy, water and marine group operating across five continents worldwide. With facilities of over 10,000 megawatts of gross power capacity and close to 9 million cubic metres of water per day in operation and under development, Sembcorp is a trusted provider of essential energy and water solutions to both industrial and municipal customers. It is also a world leader in marine and offshore engineering, as well as an established brand name in urban development.
The Group has total assets of S$21 billion and employs over 7,000 employees. Listed on the main board of the Singapore Exchange, it is a component stock of the Straits Times Index and several MSCI and FTSE indices. (this is the introduction on linkedin, cleared by group corporate relations).
Sembcorp is embarking on a major transformation of the company, at the core of this transformation are Digital technologies and methods. Central to the digitization of Sembcorp is data/analytics. Data and analytics will be in everything we do, from plant design and operations to building a direct to consumer retail business. As a result Sembcorp is looking to hire a global team of data scientists to establish and drive strategy in collaboration with our business, functional and market leaders.

IN THIS POSITION YOU WILL:

• Apply machine learning technique to provide insight and foresight into
utility process trend
• Work closely with the engineering domain experts with the richest data sets
available from utility processing plant to solve real life problem
• Select and implement best technologies and state of the art algorithm based on
your experience and judgement
• Conduct design and code reviews
• Analyse and improve efficiency, scalability and stability of various
components


KEY REQUIREMENTS:

• MS or PhD in Computer Science, Computer Applications or related field with
relevant exposure to machine learning / data science
• About 2-3 years of experience in machine learning coding with a strong track
record
• Experience in deep learning models development would be an advantage
• Experience in interconnection work between the developed models and the user
interface is preferred.
• Hands-on knowledge of working with scalable platforms for processing of huge
data sets
• Ability to build and maintain innovative products from the ground-up
• Good in solving complex integration issues
• Team player with good interpersonal, communication and problem solving skills

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