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    Senior AI Engineer - Kuala Lumpur, Malaysia - Ace Resource Advisory Services Sdn Bhd

    Ace Resource Advisory Services Sdn Bhd
    Default job background
    Full time
    Description

    Job Description

  • To lead and execute projects based on corporate digital transformation strategies.
  • To work independently or in team collaboration in sharing and generating insights based on data mining, visual/descriptive analytics, machine learning, using any suitable statistical/numerical techniques.
  • Deliver business solutions and assist business groups in their quest for higher productivity, quality and process efficiency.
  • Lead, coach and delegate tasks where applicable, such as in continual improvement of predictive models for better incremental value.
  • Initiate research, experimentation, development of new approaches in high value projects deliveries where applicable.
  • Requirements

    To be successful in this role, it is recommended that you should have the following skills and qualifications:

  • Outstanding collaboration, interpersonal and communication (written and verbal) skills in English a must. Bahasa and Mandarin knowledge will be advantageous.
  • Object oriented programming knowledge, such as Java, Scala, R, Python advantageous.
  • Exposure to A.I. and analytics platforms, such as Azure ML Studio, Google AI Engine, Alibaba ET Brain, H2O A.I., SAS, TIBCO Spotfire, MATLAB, and etc.
  • Exposure to structured/unstructured data, SQL and NoSQL big data storage solutions, cloud computing, REST API, and cloud microservices.
  • Experience in building solutions such as computer vision, NLP, time series forecasting, general prediction models.
  • Ability to work in cross-functional teams.
  • Comfortable in analysing large, complex, multi-dimensional datasets with a variety of open source tools.
  • Skills in specific OS, tools/libraries, such as RHEL, Ubuntu, OpenCV, H2O, Spark, TensorFlow, Anaconda, MRO, Cran-R.
  • Process manufacturing technology & system exposure for Pulp and Paper Manufacturing, Palm Oil refining and Viscose Fibre Manufacturing will be a bonus.
  • Fresh graduates may bring along final year/internship projects in lieu of working experience.
  • Degree/Masters/PhD. in Computer Science/ Software Engineering/ Computational Statistics/Physics, or any other related computational/ quantitative discipline.
  • Assessment

    To ensure that you are qualified to be in this role, we will have a brief assignment for you to revert to us. This is crucial in order for you to be shortlisted to be part of our team.

  • The assignment will be given to you within eight (8) working hours upon form submission.
  • You will be given one week's time from the date of submission.
  • Once you fulfill and revert the required assignment including its files, your application will be processed immediately and our representative will be contacting you soon.

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