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Amaris Consulting Logo Amaris Consulting · IT - Software Development

Machine Learning Engineer

Thailand, Bangkok · Job Posted May 30, 2026
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Job Description

Design, develop, and deploy Machine Learning models Build end-to-end machine learning pipelines for data preprocessing, training, evaluation, and deployment Develop scalable and optimized ML solutions capable of handling large datasets and real-time processing Collaborate with Data Scientists, Engineers, and business stakeholders to understand requirements and deliver technical solutions Conduct research on the latest trends and innovations in AI and Machine Learning Ensure maintainability, scalability, and robustness of ML systems through testing and optimization Monitor and troubleshoot production ML systems to ensure performance and reliability Contribute to continuous improvement initiatives and AI best practices Support automation and optimization of machine learning workflows

Job Responsibility

  • Design, develop, and deploy Machine Learning models
  • Build end-to-end machine learning pipelines for data preprocessing, training, evaluation, and deployment
  • Develop scalable and optimized ML solutions capable of handling large datasets and real-time processing
  • Collaborate with Data Scientists, Engineers, and business stakeholders to understand requirements and deliver technical solutions
  • Conduct research on the latest trends and innovations in AI and Machine Learning
  • Ensure maintainability, scalability, and robustness of ML systems through testing and optimization
  • Monitor and troubleshoot production ML systems to ensure performance and reliability
  • Contribute to continuous improvement initiatives and AI best practices
  • Support automation and optimization of machine learning workflows

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field
  • Strong experience in Machine Learning Engineering or AI-related roles
  • Hands-on experience with Python and Machine Learning frameworks
  • Experience building and deploying ML pipelines and production-grade models
  • Knowledge of data engineering, data processing, and scalable architectures
  • Strong analytical and problem-solving skills
  • Ability to work collaboratively in cross-functional and multicultural environments
  • Good communication skills in English

Nice to have

Experience with cloud platforms such as AWS, Azure, or GCP is a plus

What we offer

  • Global Diversity
  • Trust and Growth
  • Continuous Learning
  • Vibrant Culture
  • Meaningful Impact
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