300+ Machine Operation Jobs - September 2026 - High Salaries

Showing 396 jobs results for "machine operation"
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PayNet (Payments Network Malaysia)

Undisclosed

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
19 days ago
SGD7,600 - SGD9,200 Per Month

Singapore

  • Address data privacy requirements (e.g., PDPA), including PII redaction/blurring in sensitive data sources (e.g., CCTV feeds).
  • Manage configuration, deployment, and operational readiness of the data platform on GCC .
  • Implement infrastructure security controls meeting GCC security baselines. ...
Posted
24 days ago
Undisclosed

Singapore

  • Lead the enablement of new machine learning frameworks and GPU platforms, driving large-scale production deployment while maintaining model quality and business performance;
  • Design, build, and maintain MLOps platforms and automation tools, including quota management, job diagnostics, monitoring and observability, resource management, and operational tooling.
  • Individuals who are completing or have recently completed a Bachelor's/ Master's degree in Computer Science or Software Engineering or a related discipline. ...
Posted
19 days ago
SGD8,000 - SGD9,200 Per Month

Singapore

  • Support the deployment, release, and operational transition of new AI products, enhancements, and reporting capabilities.
  • Work closely with AI Product and AI Architecture teams to ensure smooth implementation and ongoing support of AI solutions.
  • Maintain and monitor AI operational KPIs, system health, service levels, and user adoption metrics, providing regular performance reports to management. ...
Posted
25 days ago

ASIA PROPERTIES & ASSETS CONSULTANCY PTE. LTD.

SGD8,500 - SGD11,000 Per Month

Geylang

  • Build and maintain release processes for AI models and features, including versioning, rollback plans, and staged rollouts.
  • Monitor production AI systems —track performance, latency, cost, drift, and failure modes; drive remediation with engineering teams.
  • Manage vendor and infrastructure relationships related to model hosting, compute, data labelling, or third-party AI tools. ...
Posted
25 days ago

Aveta Global Marketing

Undisclosed
Posted
17 days ago