Machine Learning Engineer Machine Learning Engineer …

Charterhouse Partnership Singapore
in Singapore
Permanent, Full time
Last application, 28 Jan 21
Competitive
Charterhouse Partnership Singapore
in Singapore
Permanent, Full time
Last application, 28 Jan 21
Competitive
Charterhouse Partnership Singapore
A Financial Institute with regional headquarters in Singapore, looking to move towards digitalisation, is currently building their data & analytics team. A new headcount has been created for a position of Machine Learning Engineer to be responsible for supporting creation of machine learning products.

Reporting to the Global Head of Data, you will work together with data scientists to create machine learning models and systems. To be successful, you need exceptional skills in statistics and programming. With emphasis on data science and software engineering.

Responsibilities:

·     Study and transform data science prototypes

·     Design machine learning systems

·     Analyzing the errors of the model and designing strategies to overcome them

·     Deploying models to production

·     Research and implement appropriate ML algorithms and tools

·     Develop machine learning applications according to requirements

·     Select appropriate datasets and data representation methods

·     Run machine learning tests and experiments

·     Perform statistical analysis and fine-tuning using test results

·     Train and retrain systems when necessary

·     Extend existing ML libraries and frameworks

·     Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world

To be successful, individual must possess:

  • Recognized degree in Computer Science, Mathematics, Engineering, or equivalent. PHD is a plus
  • Proven experience as a Machine Learning Engineer or similar role
  • Understanding of data structures, data modelling and software architecture
  • Deep knowledge of Maths, Probability, Statistics and algorithms
  • Ability to write robust code in Python, Java and/or R
  • Familiarity with machine learning frameworks (like PyTorch or TensorFlow) and libraries (like scikit-learn)
  • Experience with DevOps principles and lean development such as Continuous Integration and Continuous Delivery (Jenkins, etc.)
  • Experience with git principles and tools such as Bitbucket. 

Please contact Marie Goh at marieg@charterhouse.com.sg for a confidential discussion.

EA License no: 16S8066 | Registration no: R1980996

Only successful candidates will be notified.

 

Company Overview
about charterhouse

Charterhouse was formed in 2003 in Australia and it has established itself as a reputed recruitment specialist in its industry. With footprints in Asia, Australasia and the Middle East, we offer professional and bespoke contingency and retained search services across a variety of industrial sectors.

For more information on how we can help you, give us a call for a confidential discussion at (65) 6435 5600.

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