Machine Learning Engineer

Kuala Lumpur, Malaysia

Job Description


We are seeking a highly analytical and innovative Data Scientist to join a leading organization within the Technology & Telecoms industry. This remote role offers the opportunity to work on impactful analytics projects, leveraging data to drive business insights and solutions
-Defining and executing ML experiments to test how machine learning can enhance the products user experience.-Analysing and interpreting ML experiment results to determine business impact and user benefits.-Translating complex ML solutions into intuitive, user-friendly features that drive engagement and retention.-Working with UX and marketing teams to communicate ML-driven features effectively to users.-Prioritizing ML product roadmap based on user feedback, business goals, and technical feasibility.-Ensuring compliance and ethical use of user data while maximising personalization and insights.
Fully Remote Working OpportunityWork on exciting products with an Innovative organization
A successful Data Scientist should have:

  • A degree in Data Science, Computer Science, Statistics, or a related field.
  • Proficiency in programming languages such as Python, R, or SQL.
  • Experience with machine learning frameworks and tools.
  • Ability to evaluate ML models, interpret results, and make data-driven decisions.
Our client is a dynamic and innovative organization working on ML solutions for Retail clients
  • Remote Working
  • Competitive salary of MYR 144000-180000 annually.
  • Performance-based bonus and additional benefits.
  • A collaborative and innovative company culture.
  • Access to cutting-edge tools and technologies in the Technology & Telecoms industry.
If you are a motivated Data Scientist looking to make an impact, we encourage you to apply and take the next step in your career!

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Job Detail

  • Job Id
    JD1100348
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    144000 - 180000 per year
  • Employment Status
    Permanent
  • Job Location
    Kuala Lumpur, Malaysia
  • Education
    Not mentioned