Principal Machine Learning Engineer at make an impact on millions of users | Kuala Lumpur, Malaysia

June 5, 2026
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Job Overview

  • Date Posted
    June 5, 2026
  • Country
  • Expiration date
    --

Job Description

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Join a dynamic team in Kuala Lumpur, Malaysia, and leverage your expertise to build groundbreaking machine learning solutions that will positively impact millions of users globally. As a Principal Machine Learning Engineer, you will be at the forefront of innovation, driving the development of sophisticated ML systems and platforms that solve complex challenges and shape the future of our products.

Job Overview

We are seeking a highly skilled and experienced Principal Machine Learning Engineer to lead the design, development, and deployment of cutting-edge machine learning technologies. You will play a pivotal role in shaping our ML strategy, mentoring junior engineers, and ensuring the scalability and robustness of our AI-driven features.

Key Responsibilities

  • Design, implement, and deploy advanced machine learning models and algorithms.
  • Develop and maintain scalable and efficient ML infrastructure and platforms.
  • Collaborate with cross-functional teams to integrate ML solutions into product offerings.
  • Conduct rigorous experimentation and validation to optimize model performance.
  • Mentor and guide junior machine learning engineers.
  • Stay abreast of the latest advancements in ML research and technology.
  • Requirements

  • Master’s or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
  • Extensive experience in building and deploying production-level ML systems.
  • Proficiency in one or more ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Strong programming skills in Python, Java, or Scala.
  • Experience with cloud platforms (e.g., AWS, GCP, Azure) and distributed systems.
  • Excellent problem-solving and analytical skills.
  • What We Offer

  • The opportunity to work on impactful projects used by millions of users.
  • A collaborative and innovative work environment.
  • Competitive compensation and benefits package.
  • Continuous learning and professional development opportunities.
  • A chance to shape the future of AI in a growing tech landscape.