Career
AIOps Engineer
Data
|
Permanent
Data
Permanent
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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Benefits
Other
Preferred Qualifications
Qualifications
Technical Skills
Strong experience with Python, Bash, and automation scripting.
Familiarity with ML frameworks (TensorFlow, PyTorch) and MLOps tools (MLflow, Kubeflow).
Proficiency in cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes).
Knowledge of CI/CD pipelines and DevOps practices.
Operational Skills
Experience in monitoring and logging systems (Prometheus, Grafana, ELK).
Understanding of model drift, data quality, and AI observability.
Responsibilities
Architect and deploy AI/ML models for production solution + Implement MLOps / LLMOps pipelines for scalable and secured model deployment
Collaborate with DevOps, SRE, and IT teams on tooling, CI/CD and deployment pipelines
Select and integrate AIOps tools
Build predictive analytics and automation frameworks + Develop dashboards and real-time monitoring tools for operational insights (e.g. Anomaly detection, predictive forecasting, root cause analysis on incidents and other events or requirements)
Maintain observability across hybrid and multi-cloud environments
Feedback insights from operation into development cycle for continuous improvement
Manage ongoing platform upgrades to meet compliance requirements + SLA compliance
Build data pipeline, standardized, clean data for analytics
Tune AI models to maintain accuracy at production level (optional)