Research Engineer - Singapore - NodeFlair

NodeFlair

Verified Company

Singapore

3 days ago

Posted by:

Wei Jie

beBee Recruiter

Description

Job Summary:

Salary
S$4,000 - S$6,500 / Monthly

Job Type

Seniority
Junior

Years of Experience
At least 0 years

Tech Stacks
TensorFlow Relay Pandas PyTorch NumPy Java iOS Android Kotlin XML Python

Interested applicants are invited to apply
directly at the
NUS Career Portal.**In this position, you will be working on end-to-end data pipeline implementation from understanding research objectives, collecting data using cameras and wearable sensor technology, exploring methods of data analysis, cleaning and pre-processing of raw data, modelling data using Machine Learning/Deep Learning techniques, and sharing of insights to stakeholders using visualizations.

Our research aims to understand passengers' sitting behaviours and preferences on a flight so as to improve their in-flight experience.

Your key role includes gathering data from sensors in a cabin simulator, leveraging on predictive modelling, and providing meaningful insights.

In your day-to-day, you will be working closely with engineers, design researchers, and the project manager.

Requirements:

Bachelor's or Master's degree (preferred) in Data Science, Computer Science, Engineering, and Mathematics, Statistics or any related field
Applied experience with statistical modelling (hypothesis testing), machine learning (supervised and unsupervised learning techniques) and modern deep learning architectures (CNNs, LSTMs).
Experience with at least one programming language (with a preference for those commonly used in machine learning or scientific computing such as Python)
Proficient in digital signal processing and data analysis
Familiar with embedded coding and iOS/Android app development using Kotlin, Java, XML
Experience exploring, analysing, and visualising data.
Handson experience using PyTorch, TensorFlow, Pandas, NumPy, Sklearn, or similar machine learning/scientific libraries.
Proficient in handling complex requirements and turn into computation logic.
Able to communicate and relay Data Science solutions adequately to business stakeholders.
Must be willing and able to conduct research studies on weekends.