Junior data scientist/ ML engineer
(No experience required)Published: 1 month ago
KY & Company
Build Agility, Catalyze Performance Continously
Job Location
Job Type
Full TimeVisa Sponsorship
Not AvailableRelocation
AllowedSkills
Python
Analytics
Deep Learning
Hiring contact
Rose PangThe Role
Job Description
The role is responsible to assist the clients and the product team to uncover hidden value from data by building an AI enabled solution. The candidate will play key role along the solution development lifecycle from product invention, model development, model training to testing in different industry.
Requirement
Exposure to a big data technologies (e.g. Hadoop, Spark, TensorFlow), database technologies (e.g. SQL, NoSQL, Graph databases), programming frameworks (e.g. Python, R, Scala, Java), and data visualization tools (e.g. Tableau, QlikSense)
Solid experience in big data strategy and data management (e.g. GPU cluster management, secure and privacy-protecting data sharing techniques)
Added Advantages
With some hands on experience in deep learning using python library including keras, panda, numpy, tensorflow, autoencoders, other statistics library and hyper-parameter tuning would add advantage
With experience in deep learning or machine learning use cases including image classification, NLP translation, NLP sentiment analysis, object detection and recognition, anomaly detection, feature extraction, data correlation, etc would add advantage
fresh graduate with the passion and exposure to the data science will also be considered.
KY & Company is a management consulting firm which specialises in digital transformation and invents disruptive digital products. For more information, please visit kyand.co
The role is responsible to assist the clients and the product team to uncover hidden value from data by building an AI enabled solution. The candidate will play key role along the solution development lifecycle from product invention, model development, model training to testing in different industry.
Requirement
Exposure to a big data technologies (e.g. Hadoop, Spark, TensorFlow), database technologies (e.g. SQL, NoSQL, Graph databases), programming frameworks (e.g. Python, R, Scala, Java), and data visualization tools (e.g. Tableau, QlikSense)
Solid experience in big data strategy and data management (e.g. GPU cluster management, secure and privacy-protecting data sharing techniques)
Added Advantages
With some hands on experience in deep learning using python library including keras, panda, numpy, tensorflow, autoencoders, other statistics library and hyper-parameter tuning would add advantage
With experience in deep learning or machine learning use cases including image classification, NLP translation, NLP sentiment analysis, object detection and recognition, anomaly detection, feature extraction, data correlation, etc would add advantage
fresh graduate with the passion and exposure to the data science will also be considered.
KY & Company is a management consulting firm which specialises in digital transformation and invents disruptive digital products. For more information, please visit kyand.co
More about KY & Company
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