เงื่อนไขการค้นหา

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Industry trends, SQL, NoSQL, English

ประเภทงาน:

งานประจำ

• Design and work on all aspects of bringing ML models into production, develop CI/CD pipelines by collaborating with other disciplines such as data engineering, application development, cloud infrastructure, and security to implement AI solutions in production.
• Work collaboratively with data scientists along the machine learning lifecycle from data pipeline, data preparation, model deployment, and model monitoring.
• Understand and assess AI/ML industry trends to leverage technologies, continuously i ...
• Provide architectural and technical leadership to drive AI/ML capabilities.
• Initiate innovation and development projects to continuously improve the overall efficiency of the team in the engineering aspect.
• Professional Knowledge & Experiences.
• Degree in computer science or related fields, with concentration in Machine Learning/AI engineering.
• At least 3 years of experience in implementing and deploying Machine Learning solutions (using various models, such as Linear/Logistic Regression, Support Vector Machines, Neural Networks, etc.). Expertise with Data Science and experience with manipulating/transforming data, model selection, model training, and deployment at scale.
• Knowledge and experience in database technologies, such as SQL, NoSQL, and demonstrate knowledge of databases (Google BigQuery preferred), Data ETL framework (Airflow), ML libraries (scikit-learn, XG Boost, PyTorch, etc.), ML Frameworks (Kubeflow, MLFlow, etc.).
• Knowledge and experience in Kubernetes technology. Be able to develop CI/CD pipeline, deploy workloads, configure and monitor jobs on kubernetes clusters.
• Significant proficiency in Python. Experience working with GCP is preferrable.
• Ability to work in cross functional teams, have team-work mindset, self-motivation.
• Excellent written and verbal communication skills in English.
• Additional Desirable Qualification.
• Solid grounding in statistics, probability theory, data modelling, machine learning algorithms and software development techniques and languages used to implement analytics solutions.
• Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.).
• CORE Competencies.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Statistics, GraphQL, SQL

ประเภทงาน:

งานประจำ

• Bridging business requirements with technical feasibility across multiple domains.
• Translating ambiguous business problems into clear technical specifications and data models.
• Working end-to-end: requirement gathering, solution design, modeling, API/services, and platform integration.
• Communicating with cross-functional teams (domain experts, business, data, infra, product).
• Turning business objectives into data-driven solutions with clear problem statements and measurable outputs.
• Handling messy, incomplete, or unstructured data and transforming it into usable features or insights.
• Deploying models into production with reliability, performance, and maintainability.
• Integrating ML solutions into full-stack systems (APIs, backend logic, dashboards).
• Qualifications:Bachelor/Master/Doctorate degree in Computer Engineering, Computer Science, Statistics, Applied Science, or related fields (Bachelor G.P.A. > 2.70, Master G.P.A. > 3.30).
• 3-5 years of experience as a Data Scientist or related roles.
• Experience in Data Science & Machine Learning, NLP, LLM & RAG, Software Engineering & Systems, and Business & Analytical Competencies.
• Skilled in algorithms and data structures, clean OOP-based architecture, REST/GraphQL APIs, SQL/NoSQL databases, and cloud platforms (AWS/GCP/Azure).
• Good communication, coordination, and problem-solving skills.
• Willing to work in an on-site mode at SCG Headquarters, Bangsue, Bangkok.
• Contact: Pupat (Mac) Email: [email protected]

ทักษะ:

Java, Spring Boot, Kubernetes

ประเภทงาน:

งานประจำ

• 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.
• 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.
• Minimum of core Java 8, Spring Boot, Spring Cloud.
• Kubernetes (or Docker/ Mesos and equivalent).
• MySQL, PostgreSQL, EnterpriseDB, NoSQL (Cassandra, MongoDB).
• RabbitMQ, Kafka.
• AWS & GCP.
• API Gateway.
• Linux.
• CI/CD (Jenkins, Git).
• 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.

ทักษะ:

DevOps, Automation, Kubernetes

ประเภทงาน:

งานประจำ

• Managing 7-8 Professional Service Engineers in responsible for AWS cloud solution architecting and implementation/migration according to the project requirements.
• Team resources management.
• Acting as the key of Cloud technical aspect for the consulting team to provide the technical of AWS cloud consulting to customers.
• Design AWS Cloud solution architecture in response to the client s requirement.
• Define the scope of work & estimate mandays for cloud implementation.
• Managing cloud project delivery to meet the customer requirements timeline.
• Support AWS, GCP cloud partner competency building e.g. AWS Certification and delivery professional service process and documentation.
• Speaker of AWS technical side for True IDC webinar, online event for CloudTalk.
• Key Driving for building team competency expansion to meet the competency roadmap yearly strategy e.g. DevOps, IaC, Automation, Kubernetes, App modernization on AWS cloud.
• Experience in leading cloud AWS implementation and delivery team.
• Experience of designing and implementing comprehensive Cloud computing solutions on various Cloud technologies for AWS, GCP is plus.
• Experience in infra as a code in cloud native (Cloud Formation) or other e.g. Terraform, Ansible implementation.
• Experience in building multi-tier Service Oriented Architecture (SOA) applications.
• Knowledge of Linux, Windows, Apache, IIS, NoSQL operations as its architecture to the Cloud.
• Knowledge of OS administrative for both Windows and UNIX technologies.
• Knowledge of key concerns and how they are addressed in Cloud Computing such as security, performance and scalability.
• Knowledge of Kubernetes, Containers and CI/CD, DevOps.
• Experience with RDBMS designing and implementing over the Cloud.
• Prior experience with application development on the various development solutions as Java,.Net, Python etc.
• Experience in,.Net and/or Spring Framework and RESTful web services.
• UNIX shell scripting.
• AWS Certified Solution Architect - Associate, Prefer Professional level.

ทักษะ:

Industry trends, Continuous Integration, Java

ประเภทงาน:

งานประจำ

• Design, develop, test, and deploy software applications and services.
• Collaborate with application architect, product managers, designers, and other engineers to deliver high-impact features.
• Develop clean, efficient, and maintainable code following best practices.
• Participate in code reviews, debugging, and performance optimization.
• Contribute to the improvement of development tools, processes, and infrastructure.
• Stay up-to-date with emerging technologies and industry trends.
• Ensure software quality through automated testing and continuous integration.
• Qualifications Bachelor s degree in Computer Science, Engineering, or a related field (or equivalent experience).
• Proficiency in one or more programming languages (e.g., Java, Python).
• Familiarity with RESTful APIs, databases (SQL/NoSQL), and version control systems (e.g., GitLab).
• Experience with web development frameworks and tools (e.g., React, Angular, Node.js, Django) is an advantage.
• Experience with AWS cloud native services is an advantage.
• Understanding of software development lifecycle and Agile methodologies.
• Strong problem-solving skills and attention to detail.
• Good communication and teamwork abilities.
• Career Stage: Associate London Stock Exchange Group (LSEG) Information: Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it s used for, and how it s obtained, your rights and how to contact us as a data subject. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.