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.

ทักษะ:

Oracle, SQL, NoSQL

ประเภทงาน:

งานประจำ

• Lead the design and architecture of core banking systems (e.g. Thought Machine, FIS Profile, Systematics, IBS, or other FIS platforms)..
• Ensure alignment with business requirements, regulatory standards, and enterprise architecture principles..
• Technical Leadership.
• Define and drive system modernization, cloud migration, and API driven banking solutions..
• Provide architectural guidance on scalability, security, performance, and resiliency.
• Integration & Customization.
• Design and implement integration strategies between core banking platforms and digital banking, payment systems, and regulatory/compliance solutions..
• Address product limitations and customization requirements, especially within Thought Machine environments..
• Stakeholder Engagement.
• Work closely with business leaders, product owners, developers, and vendors to ensure successful solution delivery..
• Act as a trusted advisor on core banking architecture decisions.
• Performance & Security.
• Ensure systems meet high availability, performance, security, and regulatory compliance standards..
• Innovation & Emerging Technology.
• Stay up to date with AI, GenAI, cloud computing, and digital banking trends..
• Proactively recommend innovative solutions to enhance banking architecture and customer experience.
• Project Delivery.
• Lead end to end project implementation, from planning and design through go live and post implementation support..
• Ensure delivery within scope, timeline, and budget..
• 8+ years of direct experience in core banking architecture and implementation..
• Strong knowledge of banking processes, digital transformation, and regulatory frameworks..
• Hands on experience implementing and architecting solutions on Thought Machine, including understanding its limitations..
• Proven experience with cloud platforms (AWS, Azure, or GCP), microservices architecture, and API integrations..
• Strong background in databases (Oracle, SQL, NoSQL) and DevOps practices..
• Experience working in Agile/Scrum environments and leading cross functional teams..
• Excellent communication, presentation, and stakeholder management skills..
• Ability to work independently and manage multiple complex initiatives.

ทักษะ:

SAP, Linux, Apache

ประเภทงาน:

งานประจำ

• Acting as the key of Cloud technical aspect for the consulting team to provide the technical consulting to both internal and external customers.
• Design Cloud solution architecture in response to the client s requirement.
• Provide advisory consulting service to the client regarding the True IDC Consulting practices.
• Create Cloud technical requirements to the client s migration plan.
• Experience of designing and implementing comprehensive Cloud computing solutions on various Cloud technologies e.g. AWS, GCP.
• Experience in building multi-tier Service Oriented Architecture (SOA) applications.
• Experience in SAP Cloud Infrastructure in term of architecture & design in AWS, GCP public cloud.
• Knowledge of Linux, Windows, Apache, IIS, NoSQL operations as its architecture toth e Cloud.
• Knowledge of Containerization administrative for both Windows and Linux technologies.
• Knowledge of key concerns and how they are addressed in Cloud Computing such as security, performance and scalability.
• Good in customer objective handling & Good in customer presentation skill.
• Nice to have.
• UNIX shell scripting.
• AWS Certified Solution Architect - Associate.
• GCP Certified Solution Architect - Associate.

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.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

SQL, DevOps, Automation, English

ประเภทงาน:

งานประจำ

• Lead and Inspire: Drive the growth of our AI business and mentor a talented team.
• Innovate and Create: Develop and implement solutions using agentic AI solution, intelligent automation, and real-time data platforms for AI agents.
• Solve Complex Problems: Use data, analytics, and cognitive technologies to uncover hidden insights and inform critical business decisions.
• Collaborate for Success: Work alongside other practices to help clients build intelligent organizations and winning market strategies.
• Your role as a leader: At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We connect our purpose and shared values to identify issues as well as to make an impact that matters to our clients, people and the communities. Additionally, Consultants across our Firm are expected to:Demonstrate a strong commitment to personal learning and development.
• Understand how our daily work contributes to the priorities of the team and business.
• Understand the set expectations and demonstrate accountability in keeping personal performance on track.
• Actively focus on developing effective communications and relationship-building skills with stakeholders, clients and team.
• Demonstrate an appreciation for working with others.
• Understand what is fundamental to Deloitte s success as a business.
• Demonstrate integrity and an awareness of strengths, differences, and personal impact.
• Develop their understanding of Deloitte and offer a fresh perspective.
• Requirements: We're looking for someone who is excited by the challenge of turning data into actionable insights. While we have a few key skills in mind, we encourage you to apply even if you don't check every single box. We value a diversity of experience and a willingness to learn.A degree in Computer Science, Software Engineering, Statistics, Mathematics, or a related field. We value both academic and non-traditional backgrounds.
• Relevant experience in a client-facing or consulting role preferred. We are considering candidates for both Consultant (minimum 4 years of experience) and Senior Consultant (minimum 8 years of experience) levels.
• Excellent communication and interpersonal skills, with a passion for working effectively in a team.
• A creative and solution-oriented mindset, with a strong ability to develop and present new ideas.
• Key Skills and Experience:Experience designing and building cloud-based data solutions, both relational and NoSQL, with a preference for GCP.
• A knack for developing robust data integration pipelines for all types of data (batch, real-time, structured, and unstructured) for use by downstream AI and BI solutions.
• Familiarity with CI/CD processes for data workflows on major cloud platforms like AWS, Azure, or GCP.
• Strong SQL skills and an understanding of data warehouse modelling to bring together information from various sources into a cloud environment.
• Working knowledge of integration to enterprise applications such as SAP or Oracle.
• We'd also love it if you have:Experience with cloud-native data products such as BigQuery, Redshift, or Data Fabric.
• Familiarity with data visualization tools like PowerBI, Tableau, Qlik, or Looker.
• Strong cloud experience in GCP preferred though not mandatory.
• Due to volume of applications, we regret that only shortlisted candidates will be notified.
• Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website. Requisition ID: 111203In Thailand, the services are provided by Deloitte Touche Tohmatsu Jaiyos Co., Ltd. and other related entities in Thailand ("Deloitte in Thailand"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Thailand, which is within the Deloitte Network, is the entity that is providing this Website.

ทักษะ:

Compliance, Automation

ประเภทงาน:

งานประจำ

• Collaborates with stakeholders to understand business requirements and translate them into scalable, secure, and cost-effective cloud solutions.
• Viewed as a trusted technical advisor to the client and ensure technical solutions will accomplish the client's objectives.
• Designs and architects less complex cloud-based systems, ensuring high availability, scalability, performance, and reliability.
• Provides pre-sales technical support and know-how in analyzing client requirements, in conjunction with the client s current collaboration capabilities.
• Assesses existing systems and develop migration strategies to transition on-premises applications and infrastructure to the cloud.
• Designs integration solutions to enable seamless data flow between cloud and on-premises environments.
• Defines and implements security best practices and compliance standards for cloud-based systems.
• Supports the development and maintain cloud governance frameworks, policies, and procedures.
• Provides support to development teams to ensure adherence to cloud architecture standards and best practices.
• Develops or produces the technical design document to match the solution design specifications.
• Working with the relevant internal stakeholders, participate in scope of work determination, product pricing and RFP/RFI responses.
• Assists with the determination of outsourcing, product pricing and collaborates with others to develop an implementation solution.
• Influences and guides members of the Sales team and to ensure that they are equipped to close deals and maintain visibility of forecasting and sales pipeline in order to influence potential deals.
• Manages client proof of concept (POC) initiatives, which will require the involvement of the appropriate resources, and setup and delivery of the POC.
• On all assigned engagements, owns the proposed solution and transitions the build / implementation to the delivery team.
• Serve as a subject matter expert on cloud technologies and architectures.
• Collaborate with cross-functional teams, including developers, operations, and project managers, to ensure alignment of technical solutions with business objectives.
• Specifically relating to opportunity pursuit this role will evaluate each opportunity for alignment with organizational capabilities and business policy, prepare the executive summary that outlines all of the information gathered from the client in regards to their needs, as understood, document the proposed technology solution, document the statement of work along with all labor requirements, work with the relevant internal stakeholders to prepare the pricing format that will be supplied to the customer, perform the actual solution design and prepare a parts list outlining equipment to be provided, develop and manage a proof-of-concept as such may be required, engage all technical resources required for an accurate solution design, prepare a network diagram outlining the proposed solution, document all deliverables and what constitutes a successful completion, review the final parts list as supplied and submit all information to the applicable bid team for final assembly, verify the proposal s accuracy and sign off on the final documents to be presented to the client, assist during the final presentation to the client as appropriate.
• Demonstrates good client engagement skills coupled with technical consulting aptitude.
• Understanding of the vendor s products business and technology positioning.
• Ability to collaborate and communicate effectively with team members, contributing to their success.
• Broad product knowledge integrated with technology understanding.
• Good knowledge of cloud architecture patterns, including microservices, serverless computing, containers, and hybrid cloud deployments.
• Proficiency in cloud infrastructure technologies, such as virtual machines, storage solutions, networking, and load balancing.
• In-depth understanding of cloud security principles, including identity and access management, encryption, and compliance frameworks.
• Familiarity with IaC tools and frameworks such as Terraform, AWS CloudFormation, Azure Resource Manager, or Google Cloud Deployment Manager.
• Understanding cloud design patterns, microservices, serverless computing, containers, and hybrid cloud deployments.
• Multi-faceted knowledge such as Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), or other providers, understanding the specific services offered by each platform, including compute, storage, databases, networking, and security.
• Understanding of cloud networking concepts, including virtual networks, subnets, routing, load balancing, and firewall configurations.
• Knowledge of VPNs, VPC peering, and hybrid connectivity options between on-premises and cloud environments.
• Knowledge of identity and access management (IAM), encryption, data protection, secure network configurations, and compliance frameworks such as GDPR, HIPAA, or PCI-DSS.
• Proficiency in cloud storage solutions such as Amazon S3, Azure Blob Storage, or Google Cloud Storage.
• Understanding of different database options including relational databases (e.g., Amazon RDS, Azure SQL Database) and NoSQL databases for example, Amazon DynamoDB, Azure Cosmos DB).
• Knowledge of cloud monitoring and management tools such as AWS CloudWatch, Azure Monitor, or Google Cloud Monitoring.
• Familiarity with DevOps principles and practices, including continuous integration and continuous deployment (CI/CD).
• Knowledge of integration technologies such as API gateways, messaging queues, and ETL (Extract, Transform, Load) processes Basic understanding of key vendor subscription models such as Cisco EA 3.0.
• Bachelor's degree in information technology, computer science or information systems or related field.
• Vendor product, sales and technology certifications.
• Relevant cloud certifications such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect or Google Cloud Certified - Professional Cloud Architect.
• Moderate level technical experience within a large scale (preferably multi-national) technology services environment.
• Moderate level experience as a Cloud Technical Architect or a similar role, designing and implementing cloud architectures for complex systems and applications.
• Moderate level experience in designing, implementing, and managing cloud-based solutions, preferably using leading cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
• Moderate level experience in project management methodologies.
• Moderate level experience with major cloud platforms.
• Moderate level experience with serverless computing platforms like AWS Lambda, Azure Functions, or Google Cloud Functions.
• Moderate level experience with automation and orchestration tools like Ansible, Chef, or Puppet to streamline the provisioning, configuration, and management of cloud resources.
• On-site Working About NTT DATA
• NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.
• Equal Opportunity Employer
• NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.

ทักษะ:

ETL, Compliance, SQL

ประเภทงาน:

งานประจำ

• Design, implement, and manage end-to-end data pipelines architectures.
• Configure and maintain data ingest workflows (ETL) across several production systems.
• Transform data into Data Mart, Data Model that can be easily analyzed.
• Ensure data accuracy, high usability, timely availability, and strong performance.
• Demonstrate a hands-on development mindset with a willingness to troubleshoot and solve complex problems.
• Ensure compliance with data governance and security policies.
• Minimum of 3 years of work experience as a Data Engineer.
• Strong SQL skills with knowledge of NoSQL tools and languages.
• Strong proficiency in Python scripting.
• Experience with AWS Cloud Data Platform services such as S3, Redshift, Glue, Step Functions, and Lambda.
• Experience with other cloud data platforms such as GCP or Azure is an advantage.
• Experience working on Big Data platform is an advantage.
• Strong business understanding, with the ability to identify business problems, define business goals, and locate relevant data.

ทักษะ:

DevOps, Research, Software Development, English

ประเภทงาน:

งานประจำ

• Translate business requirements into scalable, secure technical solutions.
• Lead solution design and provide technical and architecture guidance.
• Act as Chapter Lead, mentoring and developing junior engineers.
• Drive code quality, best practices, and engineering standards.
• Develop and maintain web and mobile application platforms.
• Work with QA, DevOps, Security, and Infrastructure teams to ensure stable environments.
• Manage CI/CD pipelines and cloud/on-premise infrastructure (e.g. AWS).
• Own production incidents, including communication, root-cause analysis, and resolution.
• Research and adopt new technologies to support business needs.
• Qualifications8+ years of experience in software development with technical leadership exposure.
• Strong experience translating business needs into technical design.
• Experience mentoring or leading engineers.
• Agile experience (Scrum / Kanban).
• Experience in Enterprise or Solution Architecture is an advantage.
• Good command of English.
• Technical SkillsMobile: iOS, Android, Flutter.
• Web: Vue.js.
• Backend: Python, Spring Boot / Spring Framework.
• Databases: NoSQL, RDBMS, Elasticsearch.
• Cloud: AWS (Lambda, SQS, DynamoDB, S3, API Gateway).
• Practices: BDD, TDD, Automation Testing.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

React.js, node.js, TypeScript, RESTful, MySQL

ประเภทงาน:

งานประจำ

• Build, test, and improve full-stack applications using React.js, Node.js, and TypeScript.
• Design and develop robust RESTful APIs that power responsive frontends.
• Work with modern databases such as PostgreSQL, MySQL, and Prisma ORM.
• Contribute to architecture discussions and lead technical improvements.
• Embrace and implement clean code, type safety, and best practices.
• Troubleshoot, debug, and find creative solutions to technical challenges.
• Take initiative to introduce new tools, frameworks, or workflows that enhance productivity.
• Strong foundation in JavaScript/TypeScript.
• Experience with React.js, Hooks, and state management tools (Redux or similar).
• Backend development experience with Node.js, Express.js, or NestJS.
• Familiarity with authentication mechanisms (e.g., JWT).
• Understanding of unit testing and code quality assurance.
• Hands-on experience with AWS (EC2, S3, RDS, Lambda).
• Working knowledge of Docker and containerized applications.
• Familiarity with CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins).
• Experience with GraphQL or hybrid REST/GraphQL stacks.
• Experience with NoSQL databases or modern database design.
• Why This Role?.
• You ll be more than a developer you ll be a creator and contributor.
• You'll have the freedom to experiment with new tech and push beyond your comfort zone.
• You ll work with people who are passionate, curious, and supportive of your growth.
• You ll own your work and see it evolve from idea to impact.