This role focuses on providing technical support for software applications and cloud infrastructure. You will assist in maintaining system stability and resolving technical issues that impact business operations. The position requires a strong understanding of cloud technologies and the ability to troubleshoot complex technical problems efficiently. You will collaborate with cross-functional teams to ensure seamless integration of cloud services and applications. The role involves monitoring system performance and implementing necessary updates to enhance security and reliability. Success in this position requires a proactive approach to problem-solving and a commitment to delivering high-quality technical support.

The Google Cloud Platform team empowers organizations to transform their business operations through secure, scalable cloud infrastructure. As a Technical Account Manager, you will guide leading enterprises through their strategic and technical cloud transformation journeys. You will manage professional services engagements to drive adoption of core Google Cloud services, including compute engines and machine learning tools. This role requires close collaboration with cross-functional teams and stakeholders across the globe to ensure successful implementation and customer satisfaction. You will serve as the primary point of contact for key clients, advocating for their technical needs and overcoming adoption barriers. By developing strategic relationships with executives and business leaders, you will align cloud solutions with their long-term business goals. Your expertise will help shape the future of how businesses leverage technology to connect with customers and partners. This is an opportunity to work within a rapidly growing business unit at Google, driving significant impact for clients worldwide.

The Google Cloud Platform (GCP) team empowers organizations to transform their businesses through cloud-native technology. This role involves partnering with cross-functional teams to drive business growth for clients by providing technical advisory and clearing deployment blockers. You will manage the execution of deployment plans, transitioning workloads into production while ensuring customers realize maximum value from their investment. The position requires a strategic approach to technical leadership, focusing on accelerating adoption and identifying expansion opportunities within existing accounts. As an Outcome Customer Engineer, you will play a pivotal role in helping customers navigate their digital transformation journey. You will work directly with technical stakeholders and executive leaders to design and implement solutions that leverage Google's cutting-edge infrastructure and tools. The role demands a deep understanding of cloud architecture, deployment planning, and change management to ensure successful project delivery and long-term customer success.

You will lead Oracle Cloud Financials projects, focusing on strategy, implementation support, and ERP optimization for the Accounting function. This role involves managing business processes, security, and data integrity within Oracle Cloud applications. You will also support business development activities, including proposal development and client engagement management. Additionally, you will oversee the day-to-day activities of Oracle Cloud ERP Consulting engagements, ensuring process design and successful package implementation lifecycle support. As a leader, you will be responsible for supervising and performance managing staff on assigned engagements. You will develop diverse, high-performing teams through meaningful development opportunities and collaborate effectively to build productive relationships. Your role requires aligning your team to key objectives, setting clear priorities, and making informed decisions that positively impact sustainable financial performance. You will also lead with integrity, energizing others and inspiring self-belief while delivering superior value and high-quality results to stakeholders.

Join Microsoft as a Cloud Solution Architect to help customers achieve their business priorities and guide them through their Cloud & AI transformation journey. You will work closely with customer IT leaders to design and implement scalable solutions, resolve blockers, and accelerate the adoption of Azure services using frameworks like Cloud Adoption Framework (CAF) and Well-Architected Framework (WAF). This role involves delivering engagements focused on migration, modernization, and operational excellence, ensuring customer environments are optimized for health, resiliency, security, and performance to support production-scale AI use cases. You will also contribute to centralized intellectual property development and engage in technical communities to share best practices and accelerate customer transformation. This position requires a strong background in cloud infrastructure, applications, databases, and hybrid environments, with a focus on Azure. You will be responsible for translating customer challenges into actionable solutions that deliver high ROI and foster long-term value. The role emphasizes collaboration with technical and sales teams to identify opportunities for expansion and business value realization. Continuous skilling and certifications in priority workloads such as App Service/PaaS Services, Networking, Windows, Linux, Modern Databases, Defender for Cloud, and SAP are essential to maintain technical intensity and drive delivery excellence.

The AI Business Partner (AI Expert) acts as the strategic bridge between business functions and the AI Center of Excellence, identifying, shaping, and accelerating high-value AI opportunities across the organization. This role partners closely with business stakeholders to understand operational challenges, translate them into AI use cases, and drive the end-to-end lifecycle of AI initiatives from ideation and business case development to implementation and value realization. The AI Business Partner promotes AI adoption, facilitates workshops and opportunity assessments, aligns AI initiatives with business priorities, and ensures solutions deliver measurable business outcomes while adhering to governance, security, and responsible AI standards.

Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers. Using your extensive technical and leadership expertise, you manage projects of various size and scope, identifying future opportunities, improving processes and driving the technical directions of your programs. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Job Description * Collaborate with cross-functional teams to identify and prioritize business opportunities that can be addressed through data-driven solutions * Extract insights from large and complex datasets using a variety of tools and techniques * Develop and deploy predictive models and algorithms using statistical AI/machine learning, deep learning and generative AI modeling * Present findings and recommendations to stakeholders in a clear and compelling manner * Implement data-driven solutions in various environments, including integration with existing systems and processes * Stay up to date on the latest development in data science and bring new idea and technology to the team * Monitor the performance of deployed models together with algorithms and continuously improve model accuracy over time Qualifications * Bachelor’s or Master’s degree in data science, Computer Science, Statistics, or related field * 4+ years of experience as a Data Scientist, with a focus on industries * Descriptive Analytics * Predictive & Prescriptive Analytics (Machine learning, Forecasting, Optimization, choosing the best path) * Strong programming skills in Python and SQL along with libraries and frameworks for machine learning and statistical test, and their variation among databases * Experience with statistical and machine learning techniques * Proficiency in optimizing large, complicated SQL statements and code versioning tools such as Git, Mercurial, SVN or others * Experience with data visualization tools such as Looker Studio, Tableau, and Power BI * Strong problem-solving and communication skills * Experience with Cloud technology and databases (Cloud AWS, Azure, GCP) * Extensive knowledge of Customer relationship management, Customer experience, Next best action, Credit scoring, and Insight & pattern discovery

About the role Our Ascend vision is to create life opportunities with innovative digital services. Operating in Southeast Asia, we are able to help one of the world’s largest populations of underbanked, the people from some of the poorest provinces who are disregarded by traditional banks. So many lives are waiting for our help. In 2018, we served over 30 million customers in 6 countries (Thailand, Cambodia, Myanmar, Vietnam, Indonesia, Philippines), and processed over 4.5 billion USD. This makes us by far the largest fintech company in SE Asia and growing quickly. As a member of our talented Engineering team, you will help to bring this vision to reality by leveraging the most modern cloud-native technologies. At Ascend, you will be part of a team who are directly responsible for improving the lives of millions Job Description * Work in an agile team to build/develop features and technologies across various aspects of the Java stack, primarily focused on Spring Boot and Spring Cloud/NetflixOSS. * CI/CD deployments on a Kubernetes-based platform, both on-premises and on multi-cloud infrastructure. (AWS and GCP) * Possess an understanding of cloud-native architectures and be familiar with implementations involving service discovery, circuit breakers, client-side load balancing, and other architectural patterns related to elastic infrastructure. * Participate in, and help create a company culture that attracts, retains, and coaches other engineers. The primary deliverable of a senior engineer is more senior engineers. * Conduct design and code reviews. * Provide specific technical expertise to help drive innovation. * Identify emerging technologies to create leading-edge banking products * Partnering with architects and platform engineers to build strategies for execution, drive and facilitate key decisions, and influence others, and lead change where appropriate. Qualifications * A positive, can-do attitude, who naturally expresses a high degree of empathy to others * Bachelor’s Degree in Computer Science or equivalent work experience. * Relevant work experience. Or 3+ years for senior position. * Experience in building complex applications from scratch and decomposing monolithic applications into micro-services. * Experience with a broad mix of technologies, including a strong subset of: 1. Minimum of core Java 8, Spring Boot, Spring Cloud 2. Kubernetes (or Docker/ Mesos and equivalent) 3. MySQL, PostgreSQL, EnterpriseDB, NoSQL (Cassandra, MongoDB) 4. RabbitMQ, Kafka 5. AWS & GCP 6. API Gateway 7. Linux 8. CI/CD (Jenkins, Git) 9. React.JS (Optional) * Experience with distributed architectures, SOA, microservices, and Platform-as-a-service (PaaS). * Experience with Agile and Test-Driven Development (TDD) methodologies. * Experience with high availability, high-scale, and performance systems. * Experience in Automation testing/ or Unit testing is a plus. Location: True Digital Park, Bangkok

LINE MAN Wongnai is Thailand's leading provider of On-Demand Services, Merchant Digital Solutions, and Payment and Financial Services. We are seeking a Machine Learning Engineer for a 12-month contract to lead the migration of our machine learning and production model infrastructure to a modernized cloud environment. You will work directly with the Machine Learning Engineering and Data Science teams to re-platform existing training, serving, and feature data pipelines onto new cloud-native infrastructure. This is a hands-on execution role focused on the migration project, requiring the ability to ramp up quickly and contribute within the first few weeks. The role involves re-platforming the ML lifecycle, driving application integration, and ensuring production health during the transition. The successful candidate will be responsible for migrating MLOps infrastructure, training pipelines, and CI/CD workflows, as well as migrating data and feature pipelines to ensure uninterrupted data flow. You will establish monitoring and incident response for data quality and model drift during the cutover. Post-migration, you will optimize system performance by troubleshooting bottlenecks and tuning models for latency and cost efficiency. The role requires a pragmatic engineering approach to deliver against a fixed scope and timeline while ensuring a clean handover of documentation and ownership to the full-time team.