Machine Learning Engineer

Kuala Lumpur, Malaysia

Job Description


Consulting with managers to determine and refine machine learning objectives. Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Transforming data science prototypes and applying appropriate ML algorithms and tools. Ensuring that algorithms generate accurate user recommendations. Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions. Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks. Developing ML algorithms to analyze huge volumes of historical data to make predictions. Running tests, performing statistical analysis, and interpreting test results. Documenting machine learning processes. At least two year experience as a machine learning engineer. Advanced proficiency with PYTHON and R code writing
Kamlax Global Technologies is a leading IT services & business solution provider delivering cutting edge technology solutions to enterprises across the world. we add value to organizations through a synergy of skills, technology insight, innovation, products and services that orchestrate our customer\'s business to perfection. Our expertise bridges the gap between the businesses and IT and offers detailed, process-driven solutions enabling our customers to enhance productivity and achieve better ROI. Our endeavor is to ensure customer satisfaction and to add value to their overall business objectives. Recognizing the importance of quality in meeting client needs plus hiring and supporting the best team possible to assure we achieve these quality objectives. Quality and good customer solutions via good staffing is our primary business mission.
Bachelor\'s or Equivalent

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Job Detail

  • Job Id
    JD887270
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Kuala Lumpur, Malaysia
  • Education
    Not mentioned