Dentsu Aegis Network – Software Engineering / Developer Intern

Company
Dentsu Aegis Network
dentsuaegis.com
Designation
Software Engineering / Developer Intern
Date Listed
17 Sep 2018
Job Type
Entry Level / Junior Executive
Intern/TS
Job Period
Immediate Start, For At Least 3 Months
Profession
IT / Information Technology
Industry
Advertising / Event / Exhibit
Location Name
Tanjong Pagar
Allowance / Remuneration
$600 - 1,000 monthly
Company Profile

Dentsu Aegis Network SEA helps clients build consumer relationships by communicating their products and brands effectively. Our distinctive and innovative range of products and services include marketing and communications strategies through digital creative execution, media planning and buying, mobile applications, SEO, content creation, brand tracking and marketing analytics.

Part of Dentsu Inc., Dentsu Aegis Network is made up of ten global network brands - Carat, Dentsu, Dentsu media, iProspect, Isobar, Mcgarrybowen, Merkle, MKTG, Posterscope and Vizeum and supported by its specialist/multi-market brands. Dentsu Aegis Network is Innovating the Way Brands Are Built for its clients through its best-in-class expertise and capabilities in media, digital and creative communications services. Offering a distinctive and innovative range of products and services, Dentsu Aegis Network is headquartered in London and operates in 145 countries worldwide with around 38,000 dedicated specialists.

www.dentsuaegisnetwork.com/asiapacific


About Dentsu Aegis Network’s Global Data Innovation Centre

As the world of data continues to grow exponentially in the advent of connected devices, IoT, industrialised digitization of the economy and the way people move through digitized networks, Dentsu Aegis seeks to harness the power of data and transform this into intelligent applications, products and platforms. 

The Dentsu Aegis Network Global Data Innovation Centre, hubbed in Singapore, is a strategic initiative to ensure that the Group harnesses this power effectively and at scale. This set up builds from the data innovation practice that was launched in 2012 and is now designed to deliver on global initiatives from Singapore. 

Job Description

Opportunity
We invite people passionate about software development, cloud infrastructure and the production of machine learning and deep learning model at scale to join a growing team.
You have to be a self-starter, motivated and yet collaborative. You can think on your feet, connect disparate dots, imagine connections and importantly, craft approaches to turn ideas and imagination into real capabilities, inspired by data. You are excited by your work going live in the market with clients and teams around the world.


Job Description
On a day to day basis, your responsibilities can comprise of:
Work as part of Agile scrum teams to design, implement, and test the instrument control software that powers our industry-leading genotyping instruments
Design and implement novel algorithms for natural language processing, image processing, other machine learning and data processing functions.
Deliver software architecture, designs, and implementations
Analysis of error modes and actionable patterns in large scale data sets
Participate in all aspects of our agile development process, from sprint planning to daily scrum meetings and sprint demos
Create and execute unit tests to verify functionality
Contribute to software design reviews and code reviews
Optimization of algorithms and implementations for high performance and scaled computing applications
Troubleshoot and resolve software defects


Desired Skills and Experience
Undergoing a Bachelor/ Master degree in Computer Engineering or Computer Science
Knowledge of design patterns, data structures and implementing algorithms
Experience in developing server side components in python/ cloud computing and cloud data warehouses/ using Big Data frameworks and databases like Spark, MongoDB
Experience in Machine Learning techniques is a plus
Experience in UI technologies like HTML5 and D3 is a plus
Familiar with agile methodologies

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