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MLOps Engineer






About Us

Do you want to be part of Thailand banking transformation? Data is the core of the new financial services era, and we are open for the opportunity to be part to drive this change at the core.

SCB DATAx is a new venture of the Siam Commercial Bank (SCB) holdings, a leading financial services and digital services holdings in Thailand and ASEAN.

As part of the transformation of SCB into a group of product and technology companies, under the SCBx brand, SCB DATAx is the technology company to centralize data and provide AI and data science services and products to the group. 

With a leading-edge cloud native data & AI platform, our vision is to support the group to providing everyone in our region with the opportunity to prosper.

We work on forward-thinking challenges of centralizing, analyzing and sharing information. We collaborate with companies and experts in many different domains, embrace diversity and all that while having a good laugh and joy in work.

Discover job openings on our career page. To apply, email with the role's title as the subject, attach your CV, and specify your contact information. We're eager to learn more about you.

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Preferred Qualifications


  • Bachelor’s degree in computer science, Engineering, or related field; advanced degree preferred.

  • Strong experience in MLOps, with a focus on setting standards, designing CI/CD pipelines, and maintaining ML models in production.

  • Proficiency in Databricks, Azure Cloud Platform, GitHub, GitHub Actions, Terraform, and Python.

  • Excellent communication skills and the ability to collaborate effectively with cross-functional teams.

  • Strong problem-solving skills and attention to detail.

  • Experience with containerization and orchestration technologies such as Docker and Kubernetes.

  • Proven 3 years of experience in MLOps or related fields.


  • Set and maintain standards for ML in production, focusing on scalability, maintainability, security, efficiency, quality, and compliance.

  • Design and implement CI/CD pipelines for machine learning models, ensuring seamless integration and deployment.

  • Collaborate closely with data scientists, engineers, and other stakeholders to streamline machine learning workflows and optimize model performance.

  • Maintain and operate machine learning models in production, monitoring performance and resolving any issues that arise.

  • Optimize the processes of machine learning model projects, identifying areas for improvement and implementing solutions.

  • Ensure compliance with best practices for security, scalability, and efficiency in ML operations.

  • Implement deployment and infrastructure for machine learning as code based on the standard model development lifecycle. 

About Team & Role

Join a dynamic team at the forefront of ML operations. As an MLOps Engineer, you'll play a pivotal role in setting and maintaining high standards for ML in production. Collaborate with cross-functional teams to ensure efficient, secure, and scalable ML workflows, leveraging cutting-edge technologies.

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