Machine Learning Engineer

Location: Singapore River, Singapore
Salary: competitive
Sectors: Banking IT
Job Type: Permanent
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Machine Learning Engineer

  • Innovative Environment
  • Top Down Support
  • Data Driven Organisation

My client in the telecommunications sector and they are looking for a Machine Learning Engineer. The ideal candidate is expected to bring cutting edge machine learning models into production for various business units within the organization, together with a team of data scientists and subject domain experts.

Responsibilities:

  • Design, develop and deploy machine learning models in production environment.
  • Manage and monitor full life-cycle of ML models in production (e.g. monitor features, model results and performance)
  • Schedule and orchestrating complex ML work flows and pipelines using latest technologies and schedulers
  • Provide engineering solution to support production level machine learning and data-driven initiatives.
  • Optimize the efficiency of machine learning algorithms by applying state-of-the-art technologies to reduce training time and inference latency

Qualifications:

  • Bachelors in Computer Science, Computer Engineering, Applied Mathematics, Statistics or in a highly related discipline
  • Excellent programming skills in at least one object-oriented programming language (Python, Java, C++)
  • 2+ years of experience in machine learning or data science research
  • 3+ years of experience in software engineering or data engineering
  • Good understanding of
  • Software engineering principles and design patterns
  • Machine learning fundamentals and deep learning
  • Fluency in at least one modern distributed ML frameworks (TensorFlow, PyTorch, Caffe)

Huxley, a trading division of SThree Pte Limited (Registration Number: 200720126E | SThree Pte Limited Licence Number 16S8216 | Huxley Licence Number 53132076J)

Award winner of:

International Recruitment Company of the Year by Recruitment International 2016

Best Client Services by Asia Recruitment Awards 2017

Best Overseas Operation by Global Recruiters 2017

Highly Commended for Best Large Recruitment Business 2017

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