98 Machine Learning Engineer Jobs in Wp Kuala Lumpur - September 2026 - High Salaries

Showing 98 jobs results for "machine learning engineer" in Wp Kuala Lumpur
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KL City

Posted
11 days ago

KL City

  • Support the planning and execution of field based projects, working closely with regional deployment and engineering teams
  • Monitor project progress, manage risks, and ensure timely delivery within agreed scope and quality standards
  • Coordinate site readiness, access, logistics, and resources for field activities ...
Posted
11 days ago

KL City

  • Conduct market research and gather industry intelligence to identify potential customers, emerging trends, and new business opportunities.
  • Analyze market data and customer requirements to support strategic business development initiatives.
  • Lead project execution activities and coordinate effectively with internal departments and external stakeholders to ensure successful project delivery. ...
Posted
3 days ago

KL City

  • Conduct AI security testing, adversarial testing, and red-team exercises.
  • Perform AI privacy reviews covering PII, prompts, outputs, and logs.
  • Partner with AI Governance and Platform Engineering to strengthen security posture. ...
Posted
18 days ago

KL City

  • Collaborate closely with IT operations and DevOps teams to ensure the smooth integration of infrastructure platforms with other applications and processes.
  • Establish and maintain systems for monitoring machine learning models in production. Oversee the development of machine learning models at MoneyLion to ensure proper model governance.
  • Effectively manage cloud infrastructure costs by monitoring and optimizing spending, and provide transparency and accountability in cost-related matters. ...
Posted
a month ago

PayNet (Payments Network Malaysia)

KL City

  • People function expected to shape outcomes, not just run processes
  • Own production‑grade Machine Learning Operations (MLOps) platforms powering fraud and risk intelligence
  • Decide how Machine Learning (ML) models are promoted, rolled back, and governed in production ...
Posted
11 days ago

KL City

Posted
a month ago

Kuala Lumpur City Centre

  • Develop and implement machine learning models (regression, classification, clustering) to predict maintenance needs and optimize operations.
  • Leverage Large Language Models (LLMs) to enhance data products through automated feature extraction, data enrichment, and intelligent information retrieval and decision making.
  • Create scalable data solutions that can handle real-time aircraft sensor data and maintenance logs. ...
Posted
9 months ago