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Artificial Intelligence Application

by ELMLAB Sdn. Bhd.
 , SELANGOR
 Internship
 RM
 20/08/19-20/08/20
 Processing Time: 3 day
 Computer/Information Technology

Overview

ELMLAB Sdn. Bhd. is one-stop turnkey hardware and software research, development and design house. The Company’s core business is to provide solutions to solve and serves businesses’ need in technology that’s highly specialised and requires development, specifically catering towards development and commercialisation of Internet of Things application. Besides, ELMLAB Sdn. Bhd. partners with other company as outsource research & development arm in field pertained the company’s team expertise. Particularly in the field of mechanical designs, product development in electronics which not limited to design and fabricate Printed Circuit Board (PCB) and assembly of electronics components as final product. ELMLAB is also a software house in development of software such as for Android and IOS app to complement with hardware as complete technological solution. The company also capable of offering data analytics service as the company has developed in house analytics solution with its advanced machine learning algorithm and data library. The analytics algorithm was first developed for ANTS platform, the ELMLAB’s flagship activity monitoring and people counting solution.

Responsibility

Apply state-of-the-art A.I. methods for various applications: delivery services, taxi hailing services, private car hailing services and etc.
Develop self learning A.I. in automated scheduling and planning
Perform data analytics and present results through visualization
Improve speech recognition engine or facial recognition algorithm
Select features, build and optimize machine learning algorithms on various applications

Requirements

Understand and able to apply various deep learning architecture (CNN, RNN, LSTM…..)
Understand and able to apply machine learning algorithms (supervised learning, unsupervised learning, reinforcement learning, recommendation engine)
Possess knowledge of statistics and analysis skill (distribution, analysis skill)
Experience with databases
Experience with big data framework (Cassandra)
Ability to deal with structured and unstructured data
Able to program in Python and SQL