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Question [Sticky] What type of candidates are we looking for in AIAP?

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What type of candidates are we looking for in AIAP?

Outcompute to outcompete | Growing our own timber

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We are looking for candidates who possess a keen interest to pursue a career in the area of machine learning and data science. We believe that candidates can come from any area of specialization, and the eligibility and requirements are as follows:

  • Eligibility
    • Singaporean only
    • Graduated from a recognized university or Polytechnic* (*with at least 3 years of working experience)
    • Eligible for TeSA CLT / TMCA Funding
  • Technical Knowledge and proficiency requirements
    • Intermediate programming experience in one of these languages: Python, R, Scala, Java, C, C++, C#, Go
    • Understand basic data pre-processing (handling missing data, outliers etc…)
    • Build machine learning models using frameworks such as TensorFlow, PyTorch, Keras, and scikit-learn
    • Build machine learning pipeline that consists of modular and sequential components to train and build models
    • Apply software engineering best practices in basic code documentation (Readme, docstrings and requirements.txt)
    • Deploy your models in Docker containers
    • Able to provision and use of cloud computing infrastructure such as Microsoft Azure
    • Able to do Linux shell scripting
    • Able to use at least one of the following database and data processing technologies such as SQL, NoSQL, Apache Hadoop and/or Apache Spark
    • Able to use GitHub/GitLab and perform proper code check-in/out and repository
    • Understand Statistical fundamentals

Beyond that, we are looking for candidates who are self-directed, independent learners, good problem solvers and work well in teams. Selection is competitive and the above are more likely our minimum requirements.  Please review this article for more information.

This post was modified 11 months ago by wendyt
This post was modified 7 months ago 2 times by Halim

Outcompute to outcompete | Growing our own timber