Data / ML Engineer

Arise by Infinitas Co., Ltd. (Bangkok)

Bangkok

Bangkok, Thailand

"Making Digital Life Possible for All” Arise by Infinitas is a digital solution provider that is committed to developing financial solutions and nurturing leading technology talent. We solve problems to drive sustainable, long-term growth in Thailand and the world, with the mission to improve digital society and contribute to better lives, whilst inspiring an innovative workforce. Established in 2021, Arise is a joint venture between Thai financial technology company, Infinitas by Krungthai, and Accenture, a global professional services leader. This is the latest move by the former to expand “Infinite Innovation”: whether it is by providing opportunities for financial support or access to healthcare and investment options through mobile applications like Paotang, helping Thais gain access to financial support and inclusion. We create the transparency in distributing financial support to those in need in order to empower better life for all Thais. What Makes Arise Different? Here at Arise, we believe that our employees are the heart of our business. We are committed to making Arise a place where the best talent from all over the globe can gain access to boundaryless possibilities – we have created a playground of opportunities for our talent to thrive. Each of our technology wizards will have a clear sense of purpose and contribute to building technology innovation that makes Thai lives simpler, better, and faster. We value inclusion and diversity across all dimensions. It is about your talent, potential, and being the best you can possibly be. We believe in Agility, where we move fast and get things done through simplicity and our agile nature. We are Reliable and we make people’s lives better. Cultivating a growth and exploration mindset is important to us as we Innovate. Just like you, we value Stability, which is why we are driven to create effective solutions and improve processes. Join Arise as we strive towards Equality – so that together, we thrive! If you have a passion to make digital life possible, join us now!

About this position

Data Innovation team under Infinitas By Krungthai is a centralized data enabler to serve both digital and traditional arms of Krungthai Bank. We are seeking a highly skilled and motivated Cloud Data/ML Engineer to join our team. In this role, you will play a pivotal part in designing, developing, and managing end-to-end data solutions in a cloud-first environment.

Responsibilities

• Data Pipeline Development: Design, implement, and optimize scalable ETL/ELT pipelines to ingest, transform, and store structured and unstructured data in a cloud environment (AWS is a core but not limit).
• Machine Learning Pipeline Development: Work collaboratively with data scientists to productionize and maintain scalable machine learning services. The solutions encompass a variety of approaches, including traditional and near real-time machine learning, deployed across multi-state service architectures.
• Data Platform: Collaborate closely with DevOps and infrastructure teams to design, implement, and manage scalable data storage and processing platforms. Leverage AWS services such as S3, Redshift, Glue, Lambda, Athena, and EMR to ensure performance, reliability, and cost-efficiency.
• Data Modeling and Schema Management: Develop and maintain robust data models and schemas to support analytics, reporting, and operational requirements. Adhere to the design principle of establishing a "single version of truth" to ensure consistency, accuracy, and reliability across all data-driven processes.
• Data/AI Quality-as-a-Service Development: Design, develop, and maintain scalable "Data/AI Quality-as-a-Service" solutions, adhering to zero-ops design principles. The scope of quality includes monitoring data drift, analyzing performance metrics, and detecting model drift to ensure consistent, reliable, and high-performing AI systems.
• Cross-Functional Collaboration: Collaborate closely with data scientists, analysts, and application developers to ensure the seamless integration of data solutions into workflows, enhancing functionality and enabling data-driven decision-making.
• Automation & Monitoring: Design and implement robust monitoring and automation frameworks to ensure the high availability, performance, and cost-efficiency of data workflows, guided by the principle of “Zero Ops by Design.”
• Compliance & Security: Uphold data security, privacy, and compliance with banking regulations and industry standards, ensuring all solutions meet rigorous governance requirements.
• Continuous Improvement: Stay informed about emerging technologies and trends in cloud data engineering, advocating for their adoption to enhance system capabilities and maintain a competitive edge.

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, Data Engineering, or a related field.
• 3+ years of experience in cloud data engineering or