This role involves providing end-to-end advisory and overlaying industry insights to formulate technology-enabled solutions for clients. Responsibilities include managing assessment and business requirements gathering, reviewing functional specifications, supporting prototyping and architecture redesign, and engaging clients in workshops. The position requires developing trusted client relationships, ensuring quality assurance, and coaching project teams to maintain operational excellence. The consultant will meet clients regularly to define problem statements and develop responses to enquiries.

The AI Expert (LLMs & Generative AI) is responsible for designing, developing, and scaling AI solutions that leverage Large Language Models (LLMs), Generative AI, and modern AI platforms to solve business challenges and create measurable value. This role works closely with business stakeholders, AI Business Partners, data engineers, and solution architects to translate requirements into production-ready AI applications, including copilots, intelligent assistants, agentic workflows, knowledge management solutions, and process automation use cases. The AI Expert evaluates emerging AI technologies, establishes technical best practices, ensures responsible AI implementation, and drives the adoption of scalable AI architectures aligned with enterprise standards, security requirements, and governance frameworks. Qualification: * Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field, with 5+ years of experience in software development, machine learning, data science, or AI engineering. * Strong expertise in Large Language Models (LLMs), Generative AI, prompt engineering, Retrieval-Augmented Generation (RAG), vector databases, AI agents, and model orchestration frameworks. * Hands-on experience with leading AI platforms and cloud services such as Azure AI, Azure OpenAI, Google Vertex AI, AWS Bedrock, or equivalent technologies. * Proficiency in Python and modern AI development frameworks, with a solid understanding of machine learning concepts, API integrations, MLOps, and enterprise solution architecture. * Strong analytical, problem-solving, and communication skills, with the ability to explain complex technical concepts to both technical and business audiences. * Experience implementing responsible AI practices, model evaluation frameworks, and production-grade AI solutions is highly desirable.

About the role We are looking for a talented and motivated DevOps Engineer to join our team. In this role, you will be responsible for managing and optimizing our continuous integration and continuous deployment (CI/CD) processes, ensuring seamless software delivery and infrastructure management. You will collaborate with cross-functional teams to enhance our development and deployment processes, contributing to the overall efficiency and effectiveness of our software development lifecycle. Job Description * Infrastructure as Code: Design, implement, and maintain infrastructure using tools like Terraform, CloudFormation, or Ansible to manage cloud and on-premises resources. * CI/CD Pipelines: Develop, manage, and improve CI/CD pipelines using tools such as Jenkins, GitLab CI to ensure reliable and efficient software delivery. * Automation and Orchestration: Automate repetitive tasks and streamline workflows using scripting languages like Python, Bash, or PowerShell. * Monitoring and Logging: Implement monitoring and logging solutions to ensure system health and performance, using tools like Prometheus, Telegraf, Grafana, ELK Stack. * Collaboration: Work closely with development, QA, and operations teams to ensure smooth software releases and effective communication. * Security: Integrate security practices into the DevOps processes, including vulnerability assessments, access control, and compliance with industry standards. * Incident Management: Troubleshoot and resolve issues related to application and infrastructure performance, ensuring high availability and reliability. * Cloud Services Management: Manage and optimize cloud services (e.g., AWS, Google Cloud) for performance, cost, and scalability. * Documentation: Maintain clear and comprehensive documentation for processes, systems, and procedures. Qaulifications * Education: Bachelor’s degree in computer science, Engineering, or a related field, or equivalent practical experience. * Experience: [Specify years of experience] years of experience in a DevOps or related role. * Proficiency in scripting languages (e.g., Python, Bash, Powershell). * Experience with infrastructure as code tools (e.g., Terraform, CloudFormation). * Knowledge of CI/CD tools (e.g., Jenkins, GitLab CI). * Familiarity with containerization and orchestration (e.g., Docker, Kubernetes). * Strong understanding of cloud platforms (e.g., AWS, GCP). * Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK). * Understanding of security best practices and tools. Preferred * Experience with serverless architectures and microservices. * Experience in a fast-paced, agile development environment. * Knowledge of network and security configurations in cloud environments. * Strong problem-solving skills. * Excellent communication and collaboration abilities. * Ability to work independently and in a team. * Certifications: e.g., AWS Certified DevOps Engineer, Google Professional DevOps Engineer are a plus.

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

**Roles and Responsibilities** * Design and implement scalable, reliable, and efficient data pipelines for ingesting, processing, and storing large amounts of data from a variety of sources using cloud-based technologies, Python, and PySpark. * Build and maintain data lakes, data warehouses, and other data storage and processing systems on the cloud. * Write and maintain ETL/ELT jobs and data integration scripts to ensure smooth and accurate data flow. * Implement data security and compliance measures to protect data privacy and ensure regulatory compliance. * Collaborate with data scientists and analysts to understand their data needs and provide them with access to the required data. * Stay up-to-date on the latest developments in cloud-based data engineering, particularly in the context of Azure, AWS and GCP, and proactively bring new ideas and technologies to the team. * Monitor and optimize the performance of data pipelines and systems, identifying and resolving any issues or bottlenecks that may arise. **Qualifications** * Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field. * Minimum of 5 years of experience as a Data Engineer, with a strong focus on cloud-based data infrastructure. * Proficient programming skills in Python, Java, or a similar language, with an emphasis on Python. * Extensive experience with cloud-based data storage and processing technologies, particularly Azure, AWS and GCP. * Familiarity with ETL/ELT tools and frameworks such as Apache Beam, Apache Spark, or Apache Flink. * Knowledge of data modeling principles and experience working with SQL databases. * Strong problem-solving skills and the ability to troubleshoot and resolve issues efficiently. * Excellent communication and collaboration skills to work effectively with cross-functional teams.

This role involves providing end-to-end advisory services and overlaying industry insights onto research and analyses to formulate innovative technology-enabled solutions. You will manage assessment and business requirements gathering processes, review functional specifications, and support solutions prototyping and architecture redesign. The position requires engaging with clients through discussions, presentations, and workshops to validate technology solutions and perform work product walkthroughs. You will also develop trusted client relationships, ensure quality assurance and timely delivery, and actively coach project teams to maintain operational excellence. Additionally, you will meet clients regularly to define problem statements, analyze key priorities, and develop responses to client enquiries.

This role serves as a trusted technical advisor and presales partner, supporting the sales team in driving business growth through comprehensive Cloud and ICT Infrastructure Solutions. The position involves understanding complex customer requirements, designing fit-for-purpose technical architectures, and developing compelling proposals and presentations. You will collaborate closely with Sales, Engineering, and Service teams to deliver competitive solutions that meet both business and technical needs throughout the sales lifecycle. You will be responsible for supporting sales activities across government and commercial sectors, engaging directly with customers to understand their needs and recommend value-driven technology solutions. The role requires close coordination with internal stakeholders to ensure smooth solution deployment and high customer satisfaction. You will also monitor project delivery to ensure milestones and deliverables are achieved as planned while providing ongoing technical consultation and support.

You will provide end-to-end advisory services by overlaying industry insights and research analyses to formulate innovative technology-enabled solutions that address client business needs. You will manage the assessment and business requirements gathering processes, review functional specifications against problem statements, and support solutions prototyping and architecture redesign. You will engage with clients through discussions, presentations, and workshops to validate technology solutions and perform work product walkthroughs. You will develop trusted relationships with clients and gain recognition for technical and advisory capabilities. Additionally, you will provide quality assurance to ensure timely delivery of work products and actively coach project teams to maintain operational excellence. You will meet clients regularly to define problem statements, analyze key priorities, and collaborate with senior team members to develop responses to client enquiries and formulate proposals.

LINE MAN Wongnai is Thailand's leading on-demand delivery and lifestyle e-commerce platform. We are seeking a Senior Software Engineer to join our development team and help build the technology that powers our ecosystem. You will work on critical backend systems that serve millions of users daily across food delivery, ride-hailing, and financial services. In this role, you will be responsible for designing and developing scalable backend systems using Golang and Java. You will lead architectural decisions for major components, drive cross-functional collaboration, and ensure high performance and reliability. The position requires a strong commitment to quality, from initial design through deployment and production maintenance.