PCCW

Senior Machine Learning Engineer

PCCW

full-time

Posted on:

Location Type: Office

Location: Kuala Lumpur • Malaysia

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Job Level

Senior

Tech Stack

AWSAzureBigQueryCloudDockerGoogle Cloud PlatformKubernetesMicroservicesPythonPyTorchScikit-LearnSparkTensorflow

About the role

  • Create scalable machine learning models to support a variety of product, user, and business use cases.
  • Adapt end-to-end analytics workflows: identify, collect, clean, and process data, build predictive models, and present actionable insights.
  • Implement CI/CD practices to ensure model reproducibility, traceability, and scalability.
  • Improve ML observability, model evaluations, monitoring, and debugging tools to ensure reliability of deployed models.
  • Collaborate with team members and cross-functional partners to operationalize models and integrate them seamlessly into production workflows.
  • Translate ambiguous business problems into measurable ML solutions.
  • Serve as a key thought partner for stakeholders regarding machine learning algorithms, system architectures, and best practices.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or related field.
  • 5+ years of full-time work experience in one or more relevant machine-learning roles.
  • Strong proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn).
  • Experience with cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes) and CICD tools.
  • Solid understanding of distributed computing, data pipelines, and microservices.
  • Proven ability to design, deploy, and maintain production-scale ML systems.
  • Experience with large-scale systems, streaming data platforms, and real-time inference.
  • Experience with LLMs, foundation models, or retrieval systems.
  • Familiarity with data engineering tools (Spark, BigQuery, Snowflake, Databricks).
  • Domain experience in the digital marketing, e-commerce, CRM, MarTech or AdTech fields is preferred.
  • Strong ability to communicate complex technical concepts clearly to diverse audiences.
Benefits
  • Health insurance
  • Flexible work arrangements
  • Professional development
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningPythonTensorFlowPyTorchScikit-learnCI/CDdistributed computingdata pipelinesmicroservicesreal-time inference
Soft Skills
collaborationcommunicationproblem-solvinganalytical thinkingadaptabilitystakeholder engagementthought leadershippresentation skillsteamworkcritical thinking