19 Operations Technician Jobs in Malaysia | Job Vacancies | October 2026 | Maukerja

Showing 19 jobs results for "operations technician"
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Singapore

Posted
6 days ago

KL City

  • Help define and continuously iterate data-quality standards, judgment rules, and acceptance criteria for foundation-model training and evaluation.
  • Review and judge data outputs against quality standards, identify issues, close correction loops, and ensure accuracy and consistency.
  • Participate deeply in the adjudication and discussion of complex, ambiguous, and borderline cases; convert conclusions into reusable judgment rules and knowledge assets. ...
Posted
5 days ago

Singapore

  • Define and drive Service Level Objectives (SLOs) for online machine learning inference systems, ensuring the reliability, availability, and performance of large-scale production inference services;
  • Ensure the reliability and operational excellence of offline machine learning training pipelines, continuously improving training job success rates;
  • Drive infrastructure capacity planning and resource management for machine learning workloads, ensuring compute resources meet evolving business demands while continuously improving GPU and CPU utilization through performance optimization; ...
Posted
25 days ago

Singapore

  • Ensure high-quality content benchmarking across BPO teams, support the setup, onboarding, and training of new BPO teams. Manage policy clarifications, calibrations, and arbitration processes. Analyze BPO team performance to identify knowledge gaps and systemic issues.
  • Handle content labeling for specific queues based on cross-functional business requirements, analyze labeled content to identify trends and provide insights to project teams and independently manage quality evaluation initiatives, delivering actionable analytical insights.
  • Train models using large datasets of labeled content to improve decision-making accuracy. Enhance model capabilities through iterative training and reinforcement learning, assist in data preparation, cleaning, and structuring for training purposes. Improve model accuracy by testing and fine-tuning, highlight the algorithm team with supporting examples for any potential gaps in LLM decision making draft, revise, and quality-check content to explore and enhance the synergy between human input and data in LLM training. ...
Posted
25 days ago

Singapore

  • Define and drive Service Level Objectives (SLOs) for online machine learning inference systems, ensuring the reliability, availability, and performance of large-scale production inference services;
  • Ensure the reliability and operational excellence of offline machine learning training pipelines, continuously improving training job success rates;
  • Drive infrastructure capacity planning and resource management for machine learning workloads, ensuring compute resources meet evolving business demands while continuously improving GPU and CPU utilization through performance optimization; ...
Posted
25 days ago

Singapore

  • Ensure high-quality content benchmarking across BPO teams, support the setup, onboarding, and training of new BPO teams. Manage policy clarifications, calibrations, and arbitration processes. Analyze BPO team performance to identify knowledge gaps and systemic issues.
  • Handle content labeling for specific queues based on cross-functional business requirements, analyze labeled content to identify trends and provide insights to project teams and independently manage quality evaluation initiatives, delivering actionable analytical insights.
  • Train models using large datasets of labeled content to improve decision-making accuracy. Enhance model capabilities through iterative training and reinforcement learning, assist in data preparation, cleaning, and structuring for training purposes. Improve model accuracy by testing and fine-tuning, highlight the algorithm team with supporting examples for any potential gaps in LLM decision making draft, revise, and quality-check content to explore and enhance the synergy between human input and data in LLM training. ...
Posted
5 days ago

Singapore

  • Define and drive Service Level Objectives (SLOs) for online machine learning inference systems, ensuring the reliability, availability, and performance of large-scale production inference services;
  • Ensure the reliability and operational excellence of offline machine learning training pipelines, continuously improving training job success rates;
  • Drive infrastructure capacity planning and resource management for machine learning workloads, ensuring compute resources meet evolving business demands while continuously improving GPU and CPU utilization through performance optimization; ...
Posted
5 days ago

Singapore

  • Define and drive Service Level Objectives (SLOs) for online machine learning inference systems, ensuring the reliability, availability, and performance of large-scale production inference services;
  • Ensure the reliability and operational excellence of offline machine learning training pipelines, continuously improving training job success rates;
  • Drive infrastructure capacity planning and resource management for machine learning workloads, ensuring compute resources meet evolving business demands while continuously improving GPU and CPU utilization through performance optimization; ...
Posted
4 days ago

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