เงื่อนไขการค้นหา

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Data Warehousing, Automation, Power BI, ERP, English

ประเภทงาน:

งานประจำ

• Manage and support the day-to-day operations of data management systems, including SAP BW.
• Develop, implement, and maintain data management processes and procedures.
• Collaborate with stakeholders to understand business requirements and data needs.
• Design and implement data storage solutions, such as databases, data warehouses, and data lakes.
• Extract, transform, and load (ETL) data from multiple sources, including SAP ERP systems and non-SAP, into the data management systems.
• Ensure data quality and accuracy by implementing data validation and reconciliation processes.
• Monitor data management systems to ensure stability, performance, and security.
• Automate data management tasks and workflows.
• Provide technical support to end-users and resolve any data-related issues.
• Analyze data and identify trends to support decision-making and strategic planning.
• Create dashboards, reports, and visualizations using BI tools such as PowerBI, etc.
• Document data management systems and processes.
• Bachelor Degree in Computer Engineering, Computer Sciences or Management Information System.
• At least 2-3 years in Management Information System or Information Technology / New Graduate are welcome.
• Specific business application and data warehousing software: SAP BPC (Business Planning and Consolidation - Financial Consolidation), IBM Planning Analytics (TM1 - Financial Projection), SAP BW (Data Warehouse), Data analytics and Business Intelligence Enterprise Asset Management (EAM), Asset Performance Management (APM), IoT for real-time operational data ingestion, sustainability management tool and carbon reporting, Intelligent automation (RPA), Aritificial Intelligence, Machine learning and Conversational User Interface (Chatbot) or related solution.
• Management Information System.
• IT system analysis.
• Good command of English language / TOEIC over 600.

ทักษะ:

Project Management, Risk Management, Leadership Skill, English, Thai

ประเภทงาน:

งานประจำ

• Join Amgen's Mission of Serving Patients At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission - to serve patients living with serious illnesses - drives all that we do. Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas - Oncology, Inflammation, General Medicine, and Rare Disease - we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, a ...
• Amgen is one of the world's leading independent biotechnology companies. For over 4 decades, Amgen has pioneered biotechnology breakthroughs, to bring state-of-the-art medicines from laboratory to the patient. Amgen has not only discovered and developed innovative human therapeutics but has invested in cutting edge manufacturing capability and support services to deliver these exciting therapies to medical teams around the world. Japan and Asia Pacific (JAPAC) is the fastest growing region in Amgen. Now we are hiring for a Compliance Lead and Data Protection Officer for cluster countries (Thailand, Singapore & Malaysia) based in Amgen Thailand. Live.
• Purpose: Act as the strategic Compliance and Data Privacy partner for Thailand, Singapore, and Malaysia, establishing and executing country priorities based on local business needs and risk profiles while maintaining alignment with the overarching SEA and JAPAC strategy. Results: Partner with the business to enable growth within compliant and ethical guardrails through effective compliance and privacy programs, risk-based guidance, monitoring, remediation, and training, while promoting a culture of continuous process improvement. Organizational Contribution: Strengthen the culture of integrity, enable informed business decisions, mitigate enterprise risk and provide independent compliance and privacy judgement through trusted affiliate leadership partnership.
• Partner with affiliate leadership to embed compliance, ethics, and data privacy into business strategy and operations across Thailand, Singapore, and Malaysia. Establish and execute country compliance and privacy priorities based on local business needs and risk profiles, while maintaining alignment with SEA and JAPAC strategy. Serve as a full member of each affiliate leadership team with formal decision-making authority and accountability within the compliance and privacy remit. Provide independent, risk-based judgement & advice to broader affiliate business and governance decisions, ensuring compliance and privacy considerations are appropriately reflected in plans and execution. Lead the strategic implementation and localization of global compliance and privacy programs (e.g. risk assessments, policy and system enhancements, and effective training initiatives to ensure alignment with business priorities and regulatory expectations. Provide leadership and oversight of risk-based monitoring, audits, investigations, and remediation activities, Serve as DPO for Thailand, Singapore and Malaysia and oversee privacy compliance, including ROPA management, privacy training and personal data processing reviews. Escalate or consult with the SEA Cluster Head for matters involving material/significant risk, cross-market implications or matters requiring SEA LT consideration; current transaction volumes indicate fewer than 5% require Sea-level approval. Win What we expect of you.
• Preferred.
• Bachelor degree level At least ~ 8-10 years working experience preferred Oral and written communication proficiency in English Strong communication and engagement skills - oral, written - in Thai language High degree of ethics and integrity Demonstrated profound knowledge of pharma industry and understanding of business objectives Knowledge and understanding of laws, regulations and company policies. Sound organizational and interpersonal skills, ability to work under pressure Ability to cooperate well in a team environment, as well as to work independently Basic project management skills; Willingness to learn and to be developed; Industry Experience & Certifications Prior experience as compliance/paralegal/internal control/risk management/audit managers AI savvy preferred Competencies: Strong presentation and training skills Strong cross-functional communication and coordination skills Strong stakeholder influence and management skills Pro-active "self-learner" with results-oriented workstyle and the ability to deliver quality results in a timely manner Qualitative/quantitative analytical and problem-solving capabilities Acts in line with Amgen behaviors Thrive.
• What you can expect.
• of us As we work to develop treatments that take care of others, so we work to care for our teammates' professional and personal growth and well-being Vast opportunities to learn and move up and across our global organization Diverse and inclusive community of belonging, where teammates are empowered to bring ideas to the table and act Generous Total Rewards Plan comprising health, finance and wealth, work/life balance, and career benefits Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation. Apply now for a career that defies imagination.

ทักษะ:

Data Analysis, Accounting, Automation, Power BI, English

ประเภทงาน:

งานประจำ

• Responsible for analyzing customer financial information and assessing credit risk to support appropriate credit term and credit limit decisions. The role also manages credit documentation, monitors receivables, and supports working capital efficiency, while leveraging data visualization, AI, and digital tools to enhance credit analysis and improve work processes.
• Analyze customer financial statements, payment capability, and credit risk to determine appropriate credit terms and credit limits. Coordinate with sales teams to manag ...
• Bachelor's Degree in Accounting, Finance, Economics, Business Administration, or related fields (GPAX > 2.70). Fresh graduates are welcome. Experience in Credit Management, Finance, or related fields will be an advantage. Good command of English in verbal and written communication (TOEIC > 550). Experience or hands-on skills in data visualization and data management tools such as Power BI, Power Query, SQL, or similar tools. Able to utilize AI tools for data preparation, processing, and analysis to support business decision-making. Basic knowledge of low-code/no-code platforms and workflow automation tools such as Microsoft Power Apps, Power Automate, n8n, or similar platforms. Willing to work onsite at SCG Headquarters, Bang Sue, Bangkok.

ทักษะ:

Compliance, Legal

ประเภทงาน:

งานประจำ

• Coordinate with consultants and internal stakeholders to support the development, implementation, and continuous improvement of data protection policies and procedures in compliance with PDPA requirements.
• Collaborate with consultants, business units, and process owners to facilitate Data Protection Impact Assessments (DPIAs), privacy reviews, and compliance audits.
• Coordinate with internal stakeholders to monitor data protection compliance activities across the RBH Group and support the preparation of compliance reports and recomm ...
• Act as a key coordination point between consultants, relevant departments, data protection authorities, and data subjects to ensure effective communication and timely resolution of data protection matters.
• Partner with consultants, HR, Legal, IT, and business teams to organize and deliver data protection awareness programs, training sessions, and communication initiatives.
• Coordinate with consultants and cross-functional teams in the investigation, reporting, and remediation of data breach incidents, ensuring actions are completed within regulatory timelines.
• Work closely with process owners and consultants to maintain accurate and up-to-date records of data processing activities across the organization.
• Collaborate with internal stakeholders to integrate data protection requirements into business processes, systems, projects, and operational activities.
• Coordinate with business units and consultants to ensure privacy notices, consent management processes, and related documentation are properly maintained and periodically reviewed.
• Liaise with consultants and relevant stakeholders to stay informed of changes in data protection regulations, industry standards, and best practices, and support the assessment of their impact on the organization.
• Bachelor's degree in law, Information Security, Data Protection, or a related field.
• In-depth knowledge of PDPA and other relevant data protection regulations.
• Strong understanding of data protection principles and practices.
• Excellent analytical and problem-solving skills.
• Strong communication and interpersonal skills.
• Ability to manage multiple tasks and work under pressure.
• A criminal background check will be conducted as part of the company's employment consideration process.
• Personal Data Protection Notice.
• For your Personal Data Protection, please refer to Rabbit Holdings' Personal Data Protection Policy at: Personal Data Protection Policies | Rabbit Holdings.
• The Company does not intend to collect sensitive personal data unless otherwise specified. Please refrain from submitting any sensitive personal data.

ทักษะ:

Procurement, Recruitment, Data Entry, English

ประเภทงาน:

งานประจำ

• Be able to work in Suvarnabhumi Airport (BKK).
• Verify that Aircraft Technical Log and Maintenance Work Package entries are correct and complete.
• Record Equipment replacement in AMOS from Logbooks and scheduled tasks (WO/WP).
• Ensure that all Aircraft Technical Log and Maintenance Work Package entries are correctly entered into AMOS.
• Ensure the liaison with Scheduled Maintenance Planning and Engineering Departments in respect of component configuration and status.
• Other assignments from the direct Manager.
• Bachelor degree program in engineering or technical field.
• Be able to read, write, understand and communicate in English language.
• Standard computer literacy in MS Office.
• Team work spirit.
• Able to travel as when it is required.
• Apply for this job.
• More positions.
• OFFICER, STOREAIRCRAFT MECHANIC - SUVARNABHUMI AIRPORT (BKK)OFFICER, MAINTENANCE PLANNINGEXECUTIVE, MAINTENANCE CONTROL CENTERDIRECTOR OF ENGINEERINGSTORE DATA RECORDER - SUVARNABHUMI AIRPORTOFFICER, PROCUREMENT AND LOGISTIC View all jobs.
• Application form.
• Full Name *.
• Email Address *.
• Phone Number *.
• Do you consent to Vietjet Thailand collecting, using, and processing your personal data for recruitment purposes in accordance with the Personal Data Protection Act (PDPA)? Yes No *.
• Do you consent to Vietjet Thailand collecting, using, and processing your personal data for recruitment purposes in accordance with the Personal Data Protection Act (PDPA)? Yes No.
• Do you consent to Vietjet Thailand collecting, using, and processing your personal data for recruitment purposes in accordance with the Personal Data Protection Act (PDPA)? Yes No --Yes - I consentNo.
• What's your expectation salary? (THB) *.
• Do you consent to a criminal background check as part of the recruitment process? Yes No *.
• Do you consent to a criminal background check as part of the recruitment process? Yes No.
• Do you consent to a criminal background check as part of the recruitment process? Yes No --Yes - I ConsentNo.
• If selected, do you agree to undergo and pass a pre-employment medical examination prior to employment? Yes No *.
• If selected, do you agree to undergo and pass a pre-employment medical examination prior to employment? Yes No.
• If selected, do you agree to undergo and pass a pre-employment medical examination prior to employment? Yes No --Yes - I ConsentNo.
• More information.
• Your Resume *.
• To attach your Resume, click here to upload from your Computer.
• Security code *.
• Submit.
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• Be able to work in Suvarnabhumi Airport (BKK).
• Verify that Aircraft Technical Log and Maintenance Work Package entries are correct and complete.
• Record Equipment replacement in AMOS from Logbooks and scheduled tasks (WO/WP).
• Ensure that all Aircraft Technical Log and Maintenance Work Package entries are correctly entered into AMOS.
• Ensure the liaison with Scheduled Maintenance Planning and Engineering Departments in respect of component configuration and status.
• Other assignments from the direct Manager.
• Bachelor degree program in engineering or technical field.
• Be able to read, write, understand and communicate in English language.
• Standard computer literacy in MS Office.
• Team work spirit.
• Able to travel as when it is required.
• employmentType":"Full-time",.
• hiringOrganization": {.
• type": "Organization",.
• name": "VietJet Thailand",.
• sameAs": "https://hiring.vietjetthai.com".
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• name": "OFFICER, TECHNICAL DATA ENTRY",.
• value": "11138".
• title": "OFFICER, TECHNICAL DATA ENTRY",.

ทักษะ:

Budgeting, Compliance, Project Management

ประเภทงาน:

งานประจำ

• Manage daily operations of the data center, ensuring all systems function smoothly and meet quality standards.
• Develop and implement operational procedures that enhance efficiency and align with business objectives.
• Establish key performance indicators (KPIs) for operational activities and conduct regular assessments to ensure targets are met.
• Oversee resource allocation, including staffing, budgeting, and equipment management, to maximize operational effectiveness.
• Monitor financial performance, analyze cost structures, and recommend solutions to improve profitability.
• Ensure adherence to industry regulations and internal policies regarding data security and operational compliance.
• Develop and maintain disaster recovery plans to ensure business continuity in case of disruptions.
• Work with IT teams to manage infrastructure, including servers, storage systems, and networking equipment, ensuring optimal performance and security.
• Prepare regular reports for senior management detailing operational performance, challenges, and opportunities for improvement.
• Bachelor's degree in Business Management, Operations Management, or a related field; a Master's degree is preferred.
• Proven experience in operations management or a similar role within the data center or technology sector.
• Strong analytical skills with the ability to interpret financial data and operational metrics.
• Excellent leadership and communication abilities to effectively collaborate with diverse teams.
• Proficiency in project management tools and operational software.
• Knowledge of data center operations, including infrastructure management, cooling systems, power management, and security protocols.
• Detail-oriented with strong problem-solving skills.
• Ability to work under pressure and manage multiple priorities effectively.
• Strong commitment to continuous improvement and operational excellence.
• Fluent in English both written and verbal (Minimum 750 TOEIC score).
• Goal - Oriented, Unity, Learning, Flexible.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Project Management

ประเภทงาน:

งานประจำ

• Pathum Wan, Thailand (Hybrid).
• Full-time.
• Workplace: hybrid.
• Department: Data Science.
• 1\. Project Lifecycle & Operations Management.
• Collect, evaluate, and synthesize complex project requirements into clear, actionable operational execution plans in alignment with internal stakeholder objectives.
• Oversee end-to-end project schedules, financial allocations, team quality benchmarks, and manpower distribution to guarantee on-time deliverable execution.
• Serve as a central communication bridge to facilitate seamless coordination between content moderation teams, quality assurance leads, and internal business departments.
• Maintain accurate project documentation, audit trails, and periodic executive progress reports to track operational milestones.
• Formulate and deploy client-centric strategies designed to elevate satisfaction metrics, operational transparency, and long-term retention.
• 2\. Contractor & Content Moderator Management.
• Assess project-specific staffing requirements, design targeted recruitment strategies, conduct structured interviews, and manage background verification processes to onboard qualified contractor talent.
• Direct the complete onboarding lifecycle - including corporate orientations, policy training, and seamless integration into active project workflows.
• Continuously audit contractor outputs against established SLAs, enforce operational guidelines, and execute multi-tiered Quality Assurance (QA) protocols to maintain high accuracy and data consistency.
• Provide ongoing operational support, conduct regular performance reviews, and deliver constructive feedback loops to optimize overall workforce efficiency.
• 3\. Continuous Improvement & Innovation.
• Audit existing data labeling and content moderation workflows to diagnose operational bottlenecks and implement systemic process enhancements.
• Stay informed on global content moderation frameworks, AI-assisted labeling trends, and industry best practices to introduce scalable, innovative operational solutions.
• Bachelor's or higher degree in Project Management, Business Administration, Data Analytics, or a related discipline.
• Minimum of 1+ years of experience in project management, operations coordination, data analysis, or a closely related functional field.
• Strong analytical capabilities with a robust understanding of operational statistics, data interpretation, and workflow metrics.
• Advanced expertise in.
• MS Excel.
• (complex functions, data modeling) and data analysis tools. Direct proficiency in enterprise project management platforms (e.g., JIRA, Asana, Trello) is considered a distinct advantage.
• Exceptional attention to detail, high reliability, and a proven track record of rapid learning agility and adaptability in fast-paced environments.
• Superior verbal and written communication skills in English, with a demonstrated ability to articulate complex operational concepts, technical guidelines, and project metrics clearly to diverse internal and external stakeholders.
• Hybrid Working.
• options with.
• Flexible Working Hours.
• Mac or Windows? You pick your preferred work equipment.
• Comprehensive Group Health Insurance.
• Monthly GrabFood and Grab Transportation credits.
• Job-related training courses, plus.
• Free Language Courses.
• and certificate fee coverage.
• 10+ days of annual leave.
• Free snacks and drinks available at the office.
• Apply.
• Apply at Data Wow Co., Ltd.](https://apply.workable.com/datawow/j/F7A2F97FEC/apply).

ทักษะ:

Microsoft SQL Server, Data Analysis, Fast Learner, Recruitment, Data Entry

ประเภทงาน:

งานประจำ

• Handle data validation and processing in operational level aligned with standards and SLAs of MSE Mapping Operations.
• Analyze, report, and distribute validation results, suggest ideas with actionable plan to improve and develop both manual and automated workflows regarding quality and efficiency.
• Maintain and improve work standards and SOPs/guidelines, ensuring documents are always up to date.
• Collaborate with internal and external stakeholders to improve quality of works regarding operational and/or technical approaches, also propose idea with actionable plan to standardize workflows and documents.
• Identify, troubleshoot, and resolve issues upon request.
• Support ad-hoc projects upon requests.
• Are self-driven, self-organized and hard working: there is a lot to do here. It's fun, rewarding and you will learn tons along the way, but it's still a lot and we need someone who really wants to make a difference.
• Have the ambition to become something more: we hire for the long term and help people grow.
• You will learn a lot and get a real chance to progress in your career.
• Want a chance to learn how to innovate and always improve: Agoda is never happy with the status quo: we're on a quest for continuous improvement. You will learn how to review what you do, how to analyze data, how to come up with ideas and how to validate hypothesis before testing them and seeing what kind of results you can actually drive yourself.
• Undergraduate degree from an accredited university (fresh graduates are welcome).
• Excellent written and verbal communication skills in English; fluency in other languages is a plus.
• Experiencing in day-to-day operations in tech or Hospitality/OTA industry is a plus.
• Data-driven, analytical, and detail-oriented mindsets are required.
• Ability to work under pressure and time-constraint environment; fast learner, adapts well to and is energized by change.
• Ability to self-manage, multi-task, communicate effectively, work independently, and work as a team; proactive, friendly, with a sense of ownership.
• Proficiency in MS Excel (i.e. Pivot table, Vlookup).
• SQL skill is a plus.
• ntrylevel ai data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics powerbi.
• Please review our Hiring Process Guidelines before your interview - click here to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
• YouTube https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ประเภทงาน:

ฝึกงาน

• Terms of employment / engagement shall be subject to contract and local applicable laws.
• About Binance Accelerator Program.
• Binance Accelerator Program is a concise fixed-term program designed for Early Career Talent to have an immersive experience in the rapidly expanding Web3 space. You will be given the opportunity to experience life at Binance and understand what goes on behind the scenes of the worlds' leading blockchain ecosystem. Alongside your job, ...
• Who may apply.
• Current university students and recent graduates.

ทักษะ:

SQL, Power BI, Python

ประเภทงาน:

งานประจำ

• วิเคราะห์ข้อมูลลูกค้า สมาชิก และพฤติกรรมการใช้บริการ เพื่อค้นหา Insight และโอกาสในการพัฒนาธุรกิจ.
• วิเคราะห์ผลการดำเนินงานของ Loyalty Program และแคมเปญ CRM พร้อมจัดทำข้อเสนอแนะเพื่อเพิ่มประสิทธิภาพ.
• จัดทำ Dashboard และรายงานผลการดำเนินงาน เพื่อสนับสนุนการตัดสินใจของผู้บริหาร.
• พัฒนา Customer Segmentation และติดตามตัวชี้วัดด้านลูกค้า เช่น Acquisition, Retention และ Engagement.
• ดึง ตรวจสอบ และวิเคราะห์ข้อมูลจากฐานข้อมูลด้วย SQL และเครื่องมือ Business Intelligence (BI).
• ประสานงานกับทีมการตลาด หน่วยงานธุรกิจ และทีม Data เพื่อสนับสนุนการวิเคราะห์และขับเคลื่อนธุรกิจด้วยข้อมูล.
• คุณสมบัติสำเร็จการศึกษาระดับปริญญาตรีขึ้นไป สาขาสถิติ วิศวกรรมศาสตร์ เศรษฐศาสตร์ บริหารธุรกิจ การตลาด หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์ด้าน Data Analytics, CRM, Loyalty Analytics หรือ Business Intelligence อย่างน้อย 2 ปี.
• สามารถใช้งาน SQL, Microsoft Excel และ Power BI ได้เป็นอย่างดี.
• มีทักษะในการวิเคราะห์ข้อมูล และนำเสนอข้อเสนอแนะเชิงธุรกิจ.
• มีทักษะการสื่อสารและการนำเสนอ สามารถประสานงานกับผู้เกี่ยวข้องได้อย่างมีประสิทธิภาพ.
• หากมีประสบการณ์ด้าน Customer Analytics, CRM Platform หรือ Python จะได้รับการพิจารณาเป็นพิเศษ.
• ทักษะที่จำเป็นSQL.
• Power BI.
• Microsoft Excel.
• Customer Analytics.
• CRM & Loyalty Analytics.
• Dashboard Development.
• Analytical Thinking..

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Data Analysis, Architecture, Power point, Power BI, Tableau

ประเภทงาน:

งานประจำ

• Design, build and maintain recurring and ad hoc dashboards and Management Information (MI) reports on health claims covering volumes, benefit remaining turnaround time, loss ratios, leakage, and other KPIs.
• Extract, clean, consolidate and validate claims data from multiple source systems/databases to ensure accuracy and consistency of Reporting.
• Perform in-depth data analysis to identify trends, anomalies and improvement opportunities across the claim's portfolio, and translate findings into actionable insights ...
• Prepare executive-level reports and presentations (PowerPoint/dashboards) for senior management, summarizing claims performance and transformation progress.
• Partner with all stakeholders to gather Reporting requirements and ensure reports meet business needs.
• Support the Health Claims Transformation initiative by identifying opportunities to automate and streamline Reporting processes (e.g. Power BI/Power Query, macros).
• Maintain documentation of report logic, data sources and definitions to ensure consistency, governance and continuity of Reporting.
• Bachelor's degree in Information Technology or a related field.
• 2-4 years of experience in Reporting, data management, data operation, data analytics or MI or a related data-intensive environment.
• Advanced Excel skills required (pivot tables, Power Query, complex formulas, macros/VBA a plus).
• Hands-on experience with dashboarding/BI tools such as Power BI or Tableau; SQL or database query skills preferred.
• Familiarity with Azure/cloud data platforms (e.g., Azure Data Lake, Synapse Analytics) to understand data architecture and access data for reporting and analysis is a plus.
• Strong PowerPoint and data storytelling skills, with the ability to prepare clear, executive-ready presentations.
• Strong analytical mindset with high attention to detail and data accuracy.
• Good stakeholder management and communication skills; able to work with both technical and business teams.
• Proficiency in leveraging AI tools and assistants to enhance productivity and reporting accuracy.
• Good command of business English (written and spoken); Thai language skills as needed for local stakeholders.
• International work environment within Diversity & Inclusion.
• Enjoy flexible working lifestyle (Flexi time & WFH).
• Long-term saving & Flexi investment.
• Medical & Well-being programs.
• Digital learning platform to grow your potential.
• Good location: Siam Patumwan House (near BTS National Stadium).
• We offer excellent career prospects and attractive remuneration package to the right candidates.
• All application will be treated in the strictest confidential. Interested applicants please e-mail or send application with recent photo and expected remuneration to: "APPLY NOW".
• By submitting your CV to AXA, you acknowledge and agree on all the information set forth in the AXA Privacy Policy which can be found at https://www.axa.co.th/en/privacy-candidate-statement.

ทักษะ:

Data Warehousing, Recruitment, Power BI, ETL, SQL

ประเภทงาน:

งานประจำ

• Data Solution Development & Operations (60%) Perform round-the-clock monitoring of data pipelines, ETL processes, and integrations. Ensure high availability of data platforms, dashboards, and reporting systems. Monitor data ingestion pipelines (batch & real-time), data transformation jobs, and dashboard refresh schedules. Validate data freshness, completeness, and timeliness against SLAs. Proactively detect anomalies such as failed jobs, delayed feeds, and data discrepancies.
• Data Quality & Governance (20%) Perform data validation checks focusing on completen ...
• Documentation & Reporting (10%) Maintain runbooks, SOPs, monitoring dashboards, and incident/resolution reports. Produce daily and weekly operational reports tracking system uptime, incident statistics, and SLA compliance. Continuously update process documentation.
• Project Coordination & Ad-Hoc Duties (10%) Convert business needs into technical specifications and establish timelines for job completion. Support the roll-out of new applications, including Design, SIT, UAT, and Training. Handle ad-hoc projects and duties as assigned by department management. Functional & Technical Skills Strong technical knowledge of SQL / data query troubleshooting and a solid understanding of ETL / data pipelines. Hands-on experience with monitoring tools and ITIL-aligned incident management. Background with BI tools and systems, specifically Power BI and the Microsoft BI Stack. Experience in data integration, data warehousing, and big-data-related initiatives (development and implementation). Proficient in performing advanced-level computations on datasets and application lifecycle administration. Strong application troubleshooting, analytical, and problem-solving skills. Business acumen with the ability to understand how businesses function and align with current trends. Exceptional communication and stakeholder management skills.
• Education & Experience.
• Bachelor's degree in Information Technology, Computer Science, or an equivalent field. Certifications (Preferred/Required): ITIL Certification Microsoft SQL Certification Microsoft Data Platforms (Power BI and Fabric) Microsoft O365 Platform Experience: Proven experience supporting multiple sites, time zones, and languages. Attributes: High level of confidentiality, strong customer focus, and a track record of driving results despite obstacles. Note to External Recruitment Agencies: Terumo does not recognize candidate submissions from any recruitment agencies and will not be responsible for payment of any recruitment fees due to the hiring of candidates whose resumes were submitted to Terumo employees or offices without the recruiting team's acknowledgement.

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

Work Well Under Pressure, Data Warehousing, Kubernetes, Energetic, Power BI

ประเภทงาน:

งานประจำ

• Innovate & Design: Co-develop and design groundbreaking innovations that solve real business challenges and create a lasting impact on the organization, with a strong focus on AI initiatives.
• Data & Infrastructure Management: Oversee and manage core data infrastructure, including ETL processes, Data Warehousing, Cloud Platforms, and SQL.
• Adapt & Evolve: Bring an initiative-driven mindset that breaks free from conventional frameworks to keep pace with the fast-shifting technological landscape.
• A proactive mindset with a strong passion for exploring and implementing new technologies.
• An out-of-the-box thinker who is adaptable, agile, and ready to embrace rapid technological changes.
• Bachelor's in computer science, Data Engineering, or related fields.
• Minimum 4 years of experience in data engineering, machine learning, or AI-related development.
• Experience with Strong proficiency in Python, SQL, and data pipeline tools (e.g., Airflow, Spark, Databricks).
• Experience with cloud platforms (Azure, AWS, or GCP) and MLOps frameworks.
• Experience with MLOps tools, Docker, Kubernetes, and CI/CD workflows.
• Hands-on experience with Generative AI (OpenAI, LangChain, Llama, etc.) is a strong advantage.
• Understanding of Business analyst and technical requirements Microsoft Power BI.
• Passion for continuous learning in AI.
• Adaptability and willingness to learn new technologies and tools.
• Good attitude and curious mindset and willingness to learn.
• Can work under service mind and work well under pressure.
• Driven, Energetic, Analytical, Forward-Thinking with good interpersonal skills.
• Strong communication skills, both verbal and written.
• Have strong problems solving skills.
• Ability to work under pressure of deadlines.
• Flexible working shift.
• Annual Bonus, Salary Adjustment (based on company profit and individual performance).
• Provident fund.
• Group Insurance, Dental, Health Check-up, Influenza Vaccine.
• Employee Assistant Program (Unlimited consult with Psychologist).
• Special car rental rate for staff.
• Company Party, Team dining, CSR, Company Trip, Free Snack & Drink.
• Privilege from company partners.
• Welcome Friends Campaign (Reward for employees who refer potential candidates to join the company).
• For more information: https://smauto.co.th/.

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

Statistical Analysis, Architecture, Recruitment, Big Data, YouTube, Hadoop, Linux, Scala, Java, SQL

ประเภทงาน:

งานประจำ

• At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
• Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
• No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you're ready to begin your best journey and help build travel for the world, join us.
• The Engineering department oversees all Agoda's ML and software related requirements. Our goal is to enable and increase Agoda's business through creative approaches and the implementation of powerful resources such as operational and analytical databases, ML driven solutions, queue systems and data monitoring tools. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company's culture of diversity and experimentation. The role the engineering team plays at Agoda is critical as business users, product managers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the ML engineering squad, but also the reward. We work across structured and non-structured data at scale. For example, our current ML models process millions of images every day to try and enhance the experience that our users get from our app.
• Why Agoda Engineering Team?.
• Our engineering team is at the intersection of Data Engineering, Business Analytics, ML Engineering, and Backend Engineering. We focus on software engineering related to processing big data, helping the Data Science team and Performance Marketing team launch experiments by providing our users with ML/data pipelines/platforms/tools to enable our company to validate strategic decisions, make smarter choices, and react to the fast-changing world. We are a small but passionate team with people from different nationalities working together on a single goal.
• Lead the team technically in improving scalability, quality, accuracy, speed, and efficiency of our existing Data and ML processes.
• Able to analyze data to help us make better decisions.
• Design/build/test tools, libraries, pipelines, and platforms to help Data Science and Business team to launch experiments in Production.
• Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis / ML tasks.
• We believe in end-to-end ownership; this role will involve taking and building systems that enable us to launch experiments in production at a rapid pace.
• Bachelor's degree in computer science/information systems/engineering/related field.
• 6+ years of experience in software engineering with at least 4+ years in data/ml engineering.
• Expert in designing/writing/maintaining data pipelines and systems while ensuring data quality.
• Expert in SQL, Python3, and JVM based programming language - ie, Java or Scala.
• Expert in software design/design patterns/best practices, functional programming and object-oriented programming.
• Be comfortable navigating the following technology stack: Python3, Scala Spark, Hadoop, SQL, S3 etc.
• Familiar with general Machine Learning concepts and common models - ie, regularization, Tree Models, etc.
• Familiar with statistical analysis concepts - ie, p-value, z-score, etc.
• Analytical problem-solving capabilities & experience.
• A strong data-driven engineering driven mindset will be required to succeed in this role.
• Good understanding of Hadoop ecosystems and Big Data architecture and technologies.
• Experience with Scala/Scala Spark development.
• Working in an agile environment using test driven methodologies.
• Systems administration skills in Linux.
• Hybrid Working Model.
• WFH Set Up Allowance.
• 30 Days of Remote Working from anywhere globally every year.
• Employee discount for accommodation globally.
• Global team of 90+ nationalities.
• 40+ offices and 25+ countries.
• Annual CSR / Volunteer Time off.
• Benevity Subscription for employee donations.
• Volunteering opportunities globally.
• Free Headspace subscription.
• Free Odilo & Udemy subscriptions.
• Access to Employee Assistance Program (third party for personal and workplace support).
• Enhanced Parental Leave.
• Life, TPD & Accident Insurance.
• telaviv.
• Please review our Hiring Process Guidelines before your interview - click.
• here.
• to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers.
• https://careersatagoda.com.
• Facebook.
• https://www.facebook.com/agodacareers/.
• LinkedIn.
• https://www.linkedin.com/company/agoda.
• YouTube.
• https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

MongoDB, Python, Hadoop, Apache, MySQL, Thai

ประเภทงาน:

งานประจำ

• About LINE MAN Wongnai.
• LINE MAN Wongnai is Thailand's Leading On-Demand Delivery and Lifestyle e-Commerce platform services. We build technology to help Thai people live better, to empower all local businesses by creating an end-to-end food ecosystem through our channel LINE MAN and Wongnai. Connected consumers, riders, and local businesses and improved the daily life of all parties with restaurants nationwide. And because we are local, we provide the deepest variety and services that are tailor-made for Thai people.
• We are looking for an experienced data lead to develop large and high performance data processing systems to drive our business growth. Working in a fast-paced environment, you will bring your expertise and skills to tackle the challenges that impact millions of people on our journey to become the No.1 food platform in Thailand.
• Design and develop large and high performance data processing systems to drive LINE MAN Wongnai business growth and improve the product experience.
• Lead and oversee data engineering projects to ensure pipelines are reliable, efficient, testable, & maintainable.
• Improve data quality to management and governance.
• Evangelize high quality software engineering practices towards building data pipelines and platforms at scale.
• Contribute to shared engineering tooling & standards to improve the productivity and quality of output for engineers across the company.
• At least 3-7 years of practical or hands-on experience in Data Engineering or relevant industry.
• Excellent problem-solving skills and attention to detail.
• Effective communication and collaboration skills.
• Knowledge and experience with data quality frameworks (e.g., Great Expectations).
• Working knowledge with both relational and non-relational databases (e.g., MongoDB, MySQL, PostgreSQL).
• Strong proficiency in SQL, Python, and other programming languages commonly used in data engineering.
• Extensive hands-on experience with Apache Spark Batch/Real Time and performance tuning.
• Proven hands-on experience with Hadoop and familiarity with open table formats.
• Experience with Polars and DuckDB (Preferable).

ทักษะ:

Financial Analysis, Recruitment, Accounting, English

ประเภทงาน:

งานประจำ

• Email Address.
• Phone Number.
• Do you consent to Vietjet Thailand collecting, using, and processing your personal data for recruitment purposes in accordance with the Personal Data Protection Act (PDPA)? Yes No.
• Do you consent to Vietjet Thailand collecting, using, and processing your personal data for recruitment purposes in accordance with the Personal Data Protection Act (PDPA)? Yes - I consent No Do you consent to a criminal background check as part of the recruitment process? Yes No.
• Do you consent to a criminal background check as part of the recruitment process? Yes No Yes - I consent No If selected, do you agree to undergo and pass a pre-employment medical examination prior to employment? Yes No.
• If selected, do you agree to undergo and pass a pre-employment medical examination prior to employment? Yes - I Consent No What's your expectation salary? (THB) * + More information Your Resume.
• To attach your Resume, click here to upload from your Computer. Security code.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Data Warehousing, Automation, Apache, Python, ETL

ประเภทงาน:

งานประจำ

• Data Pipeline Operations.
• Monitor scheduled and event-driven ETL/ELT pipelines across Azure Data Factory, Databricks, Airflow, and related platforms.
• Investigate failed jobs, delayed data, missing records, schema changes, and dependency issues.
• Rerun or recover pipelines using approved operational procedures and confirm successful completion.
• Support production releases, cutovers, and post-deployment monitoring.
• Incident and Problem Management.
• Respond to data-service incidents and operational requests within agreed service levels.
• Perform root-cause analysis and document the issue, impact, resolution, and preventive action.
• Create, update, and follow operational tickets through closure.
• Coordinate with source-system owners, data engineers, infrastructure teams, and report owners when cross-team support is required.
• Data Quality and Reliability.
• Validate data completeness, accuracy, freshness, and reconciliation results.
• Maintain monitoring, alerting, and operational checks for critical pipelines and datasets.
• Identify recurring failure patterns and recommend permanent fixes or automation.
• Escalate material data risks with clear impact and status communication.
• Stakeholder and Service Support.
• Support users of reports, dashboards, and downstream data products.
• Provide concise updates on incidents, blockers, ownership, and expected next actions.
• Participate in daily operational reviews and handovers.
• Maintain runbooks, troubleshooting guides, support knowledge, and service documentation.
• Continuous Improvement.
• Automate repetitive operational tasks and recovery steps where appropriate.
• Contribute to observability, cost, performance, and reliability improvements.
• Support standardization of deployment, support, and data-quality practices.
• Share lessons learned and help improve team operational readiness.
• Required.
• Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related discipline, or equivalent practical experience.
• 2-5 years of experience in data engineering, data operations, application support, or production support.
• Hands-on experience supporting production data pipelines or data platforms.
• Strong SQL skills and working knowledge of Python or another scripting language.
• Experience with one or more orchestration or processing technologies such as Azure Data Factory, Databricks, Apache Spark, or Airflow.
• Understanding of data warehousing, ETL/ELT, file and database integration, job dependencies, and data-quality controls.
• Ability to troubleshoot methodically, communicate clearly, and work across technical and business teams.
• Preferred.
• Experience with Azure or AWS data services.
• Experience with Linux, shell scripting, Git, and CI/CD practices.
• Familiarity with monitoring platforms such as Azure Monitor, CloudWatch, Grafana, or equivalent tools.
• Experience with Jira or an IT service-management platform.
• Retail, e-commerce, finance, supply-chain, or enterprise analytics experience.
• Knowledge of access controls, secrets management, and secure production-support practices.
• Production ownership and service mindset.
• Structured troubleshooting and root-cause analysis.
• Attention to data quality and operational detail.
• Clear incident communication and stakeholder coordination.
• Prioritization under pressure.
• Continuous improvement and automation mindset.

ประสบการณ์:

6 ปีขึ้นไป

ทักษะ:

Industrial Engineering, Statistical Analysis, Project Management, Data Analysis, Automation

ประเภทงาน:

งานประจำ

• Business Opportunity Identification: Identify business opportunities and performance gaps through data analysis across retail operations, merchandising, customer, supply chain and strategic projects. Translate business questions into analytical approaches and prioritize high-impact opportunities. Proactively identify where the business should focus next.
• Analytics & Insight Generation: Develop analytical models to identify sales opportunities, range gaps, productivity improvement, customer behavior, store performance an ...
• Translate Insights into Execution Plans: Work closely with project managers and business stakeholders to transform analytical findings into actionable execution plans. Support initiative design by defining opportunity sizing, success metrics, KPIs, pilot scope and expected impact. Ensure insights are translated into measurable business actions.
• Data Foundation & Analytical Enablement: Develop and maintain reusable datasets, dashboards, SQL scripts and analytical models that enable faster business decision-making. Improve data accessibility for project teams by automating repetitive analysis whenever possible. Act as the team's technical expert in data preparation and analytics.
• Cross-functional Business Partnering: Partner with Merchandising, Operations, Supply Chain, Digital, Finance and other business functions to validate findings and refine recommendations. Facilitate discussions using data as objective evidence to support decision making.
• Strategic Project Analytics: Support strategic transformation initiatives by defining KPIs, tracking benefits realization, measuring pilot performance, evaluating business impact and conducting post-implementation reviews. Provide ongoing analytical support throughout the project lifecycle.
• Coaching & Capability Building: Improve the team's analytical capability by coaching colleagues on interpreting data, asking the right business questions, understanding KPIs and using dashboards effectively. Help establish best practices for data-driven decision making within the team.
• 6+ years in Data Analytics, Business Analytics, Strategy, Consulting or Retail Analytics.
• Degree in Industrial Engineering, Supply Chain, Finance, IT or related field.
• Experience working closely with business teams instead of purely technical analytics teams.
• Experience supporting senior management or strategic projects is highly preferred.
• Strong proficiency in SQL (Databricks preferred), Python, and Power BI / Tableau; handling large-scale retail datasets.
• Experience developing analytical models, forecasting, segmentation, hypothesis testing, statistical analysis and automation (Correlation, Regression, etc.).
• Ability to use data and metrics to test theories, back up assumptions, develop business cases, complete root cause analysis and measure success.
• Strong business acumen with the ability to connect data to commercial decisions.
• Ability to translate ambiguous business problems into structured analytical frameworks.
• Strong problem-solving mindset with experience identifying root causes and recommending practical business solutions.
• Skilled in process improvement, project management, and data analysis.
• Excellent stakeholder management and presentation skills.
• Strong storytelling using data and ability to simplify complex analysis for non-technical audiences.
• Ability to work independently in a fast-paced business environment with a strong business partnering.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Business Development, Risk Management, Leadership Skill, English, Thai

ประเภทงาน:

งานประจำ

• Assess a client's current AI estate: what models are in use, who approved them, what data they touch, and where the gaps between stated policy and actual practice sit.
• Design AI governance operating models that work inside the client's organisation, covering model inventories, risk classification, approval gates, human oversight, monitoring, and incident handling.
• Lead readiness and gap assessments against ISO/IEC 42001, the EU AI Act, the NIST AI Risk Management Framework, and Thai regulatory expectations, then turn the findings ...
• Run AI risk assessments on specific systems, including generative and LLM-based applications, covering bias and fairness, explainability, data provenance, third-party model dependencies, and failure modes that matter to the business.
• Write the artefacts clients are asked to produce: AI policy, acceptable use standards, model documentation templates, risk registers, and committee terms of reference.
• Prepare and support clients through certification audits and scrutiny from regulators or their own enterprise customers.
• Data governance.
• Establish data governance foundations where AI governance depends on them: ownership and stewardship, classification, lineage, retention, and quality standards.
• Connect governance requirements to how data actually moves in the client's platforms, working with our data engineers rather than producing documents that sit apart from the systems.
• Align governance design with PDPA and, where relevant, GDPR, in partnership with our privacy and legal function.
• Client leadership and business development.
• Own delivery on your engagements end to end: scope, plan, workshops, deliverables, and the final read-out to the executive sponsor.
• Build trust with senior stakeholders and hold a position when the commercially convenient answer is not the correct one.
• Work with our commercial team on scoping calls, proposals, and pricing, and lead the technical argument in pitches.
• Develop repeatable service offerings, assessment methods, and templates so the practice does not restart from a blank page on every engagement.
• Represent Data Wow externally through client briefings, industry events, and written material on AI governance in the Thai market.
• Coach consultants and engineers on the team so governance thinking spreads beyond you.
• Required.
• 5+ years in consulting, risk, compliance, data governance, or a related advisory function, including at least 2 years focused on AI, data, or technology governance.
• Direct experience leading client engagements: setting scope, managing stakeholders, and presenting to executives without a partner in the room.
• Working command of at least one AI governance framework such as ISO/IEC 42001, the EU AI Act, or the NIST AI RMF, applied in practice rather than read about.
• Solid grounding in data governance disciplines: ownership models, classification, lineage, quality, and retention.
• Enough technical fluency to hold a credible conversation with data scientists and engineers about how models are trained, deployed, and monitored. You do not need to build them.
• Familiarity with PDPA and how privacy obligations interact with AI systems.
• Clear written and spoken English and Thai. Much of this work is persuasion in writing.
• Comfort with ambiguity. Regulation in this area is still forming, and clients will ask you questions that do not yet have settled answers.
• Nice to have.
• Experience in a Big Four practice, a boutique consultancy, or an in-house governance function at a regulated enterprise.
• Certifications such as ISO/IEC 42001 Lead Auditor or Lead Implementer, ISO 27001 Lead Auditor, CIPP/E, CIPM, or CDMP.
• Sector depth in financial services, healthcare, or energy, where regulatory pressure on AI is arriving first.
• Hands-on exposure to MLOps tooling, model monitoring, or LLM evaluation.
• A track record in business development, including proposals you wrote that were won.
• Published writing or speaking on AI governance, data ethics, or privacy.
• Hybrid Working options with Flexible Working Hours.
• Your Choice of Gear: Mac or Windows? You pick your preferred work equipment.
• Comprehensive Group Health Insurance.
• Monthly Grab Transportation credits.
• Job-related training courses and certificate fee coverage.
• 10+ days of annual leave.
• Free snacks and drinks available at the office.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

English, Thai

ประเภทงาน:

งานประจำ

• Collaborate closely with engineering teams to design and deploy end-to-end LLM applications that drive measurable business impact.
• Implement scalable LLMOps workflows to streamline model training, deployment, monitoring, and ongoing optimization in production.
• Evaluate, test, and benchmark frontier and open-source LLMs to identify high-value applications across our product ecosystem.
• Adapt and fine-tune pre-trained models using domain-specific datasets and modern optimization techniques.
• Establish robust evaluation frameworks, testing harnesses, and monitoring infrastructure to ensure AI models optimize for accuracy, latency, safety, and cost efficiency.
• Stay at the forefront of AI research, continuously evaluating emerging tools, architectures, and methodologies to enhance engineering practices.
• Bachelor's, Master's, or Ph.D. in Computer Science, Data Analytics, Statistics, or a related quantitative field.
• 2-5 years of experience in data science, machine learning, or applied research.
• Solid foundation in statistics, probability, machine learning algorithms, and large language models (LLMs).
• Hands-on experience with some modern AI tooling and frameworks (e.g., vLLM, LangChain, or similar execution engines).
• Strong problem-solving skills, strong sense of ownership, and a passion for translating experimental research into production-grade systems.
• Excellent communication skills with both technical and non-technical stakeholders, with a proven ability to build and foster collaborative relationships.
• Ability to thrive in a dynamic, fast-paced environment and apply disciplined risk control to deliver high standards under constraints.
• Fluency in both English and Thai.
• It'd be Great if you have: (if any).
• Demonstrated experience deploying and optimizing LLM serving architectures for high-concurrency, low-latency production applications.
• Extensive hands-on experience training, post-training, fine-tuning (e.g., LoRA, QLoRA), and aligning (e.g., RLHF, DPO) large language or multimodal models.
• Familiarity with modern Retrieval-Augmented Generation (RAG) frameworks, vector databases (e.g., Pinecone, Milvus, Qdrant), and advanced retrieval techniques.
• Experience building agentic workflows, function calling pipelines, or multi-agent orchestration systems.
• Proven track record of publishing research papers at top-tier AI/ML conferences or journals.