เงื่อนไขการค้นหา

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Statistical Analysis, Software Development, Kubernetes, Python, NoSQL, ETL, English

ประเภทงาน:

งานประจำ

• Key Accountabilities.
• 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 improve efficiency and effectiveness of the existing algorithms; as well as to understand their impact on our AI/ML solutions.
• 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:

Software Development, Recruitment, Assurance, Docker, English

ประเภทงาน:

งานประจำ

Who We Are Located in the heart of Bangkok's Phrom Phong District, Sertis is ASEAN's leading Data and AI engineering and solutions company. Since 2014, our advanced solutions and products have powered over 400 enterprise Data and AI deployments at the region's leading companies and conglomerates. We are also a member firm of Andersen Consulting, a global consulting practice integrating business strategy, digital transformation, and AI-driven technology solutions with Andersen Global's world-class expertise. What We Do Sertis provides both productized and bespoke AI and Data solutio ...

ทักษะ:

Automation

ประเภทงาน:

งานประจำ

Level: Senior Staff Engineer (Senior Individual Contributor role; no direct reports) About our group: The HGA Process Development team owns early stage process invention, feasibility, and KPIV understanding to enable future product requirements The team builds deep, physics based process knowledge, focusing on identifying critical KPIVs, defining their relationships to KPOVs, and delivering validated, tool ready concepts Working closely with HGA/TGA design and product teams, the group ensures alignment to next generation architectures while influencing process capability and design ...

ทักษะ:

Automation

ประเภทงาน:

งานประจำ

• Architect next generation slider-attach (micro-meter precision capability assembly machine) and adhesive dispense processes (nano-liter precision dispense capability), defining process concepts, materials strategies, and integration schemes to meet future HGA performance requirements.
• Lead early stage process invention, machine design, control system and feasibility through rapid experimentation, bench prototyping, and concept down selection based on technical merit and scaling risk.
• Develop deep physics based understanding of adhesive behavior and slider attach mechanics, including bondline control, wetting/spread dynamics, cure effects, and thermo mechanical interactions.
• Identify and quantify critical KPIVs and their relationships to KPOVs (CTQs), building transfer functions, interaction maps, and process limits to guide design and downstream optimization.
• Define and co develop novel dispense, placement, and curing tool concepts, including automation, vision alignment, and process control strategies needed for scalable implementation.
• Partner closely with advanced HGA/TGA design and materials teams to influence product architecture, adhesive selection, and attach schemes based on process capability and risk.
• Collaborate with global teams, including U.S.-based design and engineering partners, requiring flexibility to support cross time zone engagement, including periodic evening meetings.
• Deliver M1 ready process solutions, including validated concepts, quantified KPIV/KPOV relationships, and clear scaling/optimization guidance for handoff to integration teams.
• Background in Hard Disk Drive manufacturing or precision assembly processes, with solid engineering fundamentals is advantage.
• Experience in process development, materials, or manufacturing engineering, with exposure to areas such as adhesives, dispense processes, or cleaning technologies considered a plus.
• 12+ years demonstrated hands-on expertise in the design and development of micro-precision assembly equipment, incorporating multi-axis motion systems and integrated sensor technologies.
• Basic understanding of data analysis, statistics, or structured problem-solving methods (e.g., DOE, Six Sigma concepts).
• Familiarity with mechanical behavior, materials interaction, or reliability considerations in assembly processes.
• Strong analytical and problem-solving skills, with the ability to learn quickly and apply engineering principles to new challenges.
• Good communication skills in English (written and spoken), capable of working effectively with global and cross-functional teams.
• Demonstrated teamwork and collaboration, with willingness to learn, take initiative, and grow into a technical leadership role.
• Teparuk Thailand.
• Home to over 4,000 employees, our Teparuk site specializes in producing nano-recording heads a crucial component for the read/write functionality of hard disk drives. At our Teparuk facility, work is both productive and enjoyable. You and your colleagues can grab breakfast, lunch, dinner, and snacks at our 24/7 on-site canteen and coffee shop. Stay active by taking a few laps around our running track or participating in volleyball, basketball, table tennis, badminton, or football at our on-site gymnasium and fitness center. We also offer a variety of activities, including music, dance, and aerobic classes. Alternatively, unwind in our lush green areas. Consider joining any of our employee resource groups (ERGs), such as Seagate Women in Leadership Network (SWLN), Seagate PRIDE: Thailand chapter, or Seagate's parents and caregivers' group. These ERGs provide educational and fun activities. Additionally, enjoy on-site festivals, celebrations, and opportunities to give back to the local community.
• About Us.
• With more than four decades of storage innovation, Seagate empowers humanity to thrive in the data age and helps people and businesses navigate the ever-expanding data landscape.
• We craft precision-engineered, cutting-edge solutions that help the world store and manage exponential data growth.
• Seagate is powered by our talented and passionate workforce of 29,000 employees across the globe who embody.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Google Cloud Platform, Industry trends, Architecture, Kubernetes, VMware

ประเภทงาน:

งานประจำ

• Solution Design & Consulting.
• Analyze customer business and technical requirements.
• Design and recommend HPE HIT & AI solutions, including AI Infrastructure, High-Performance Computing (HPC), Data Center, Hybrid Cloud, Server, and Storage solutions.
• Prepare solution architecture, technical proposals, and scope of work documents.
• Deliver technical presentations and solution demonstrations to customers and partners.
• Pre-sales Support.
• Collaborate closely with the Sales team to identify business opportunities and drive revenue growth.
• Provide technical consultation and solution recommendations to customers and partners.
• Design system configurations and prepare Bill of Materials (BOM) based on customer requirements.
• Conduct product comparison and competitive analysis.
• AI & Data Infrastructure Solutions.
• Provide guidance on AI Infrastructure, GPU Computing, and AI workloads.
• Design solutions supporting Machine Learning (ML), Deep Learning (DL), and Generative AI applications.
• Recommend appropriate server, storage, networking, and software platforms for AI projects.
• Stay updated on emerging AI technologies and industry trends.
• Technical Demonstration & Proof of Concept.
• Conduct Proof of Concept (PoC), product demonstrations, and technical workshops.
• Validate solution feasibility and performance prior to implementation.
• Prepare technical documentation, implementation recommendations, and best practices.
• Vendor & Partner Collaboration.
• Maintain up-to-date knowledge of HPE products, solutions, and technologies.
• Work closely with HPE, technology vendors, and business partners to support customer projects.
• Attend technical training programs and obtain relevant certifications.
• What we're looking for.
• Minimum 2-5 years of experience in Pre-sales Engineering, Systems Engineering, Solution Architecture, or Technical Consulting.
• Experience in Enterprise Infrastructure, Servers, Storage, Networking, Data Center, or Hybrid Cloud solutions.
• Experience with AI Infrastructure, HPC, GPU Computing, or Data Analytics solutions is highly preferred.
• Strong understanding of HPE Servers, Storage, Networking, and HPE GreenLake solutions.
• Knowledge of AI, Machine Learning, Deep Learning, and Generative AI technologies.
• Familiarity with Virtualization and Cloud technologies such as VMware, Hyper-V, Kubernetes, Containers, AWS, Azure, or Google Cloud Platform.
• Understanding of Data Center Architecture and Enterprise IT Infrastructure.
• Excellent presentation, communication, and interpersonal skills.
• Strong analytical and problem-solving abilities.
• Ability to prepare technical proposals, solution designs, and architecture documentation.
• Capable of working effectively with Sales teams, customers, vendors, and partners.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Statistical Analysis, Recruitment, Automation, Tableau, YouTube, Python, 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 team.
• Agoda's Marketing team operates at the intersection of business strategy, data, and execution. We build and scale programs across growth, pricing, and commercial initiatives that drive customer value and sustainable business performance globally. We're analytical, fast-moving, and deeply cross-functional partnering closely with Product, Finance, Corporate Strategy, and Supply to shape Agoda's growth agenda.
• The opportunity.
• We're looking for experience Marketing Growth Strategy & Analytics leaders to own high-impact commercial initiatives from strategy through execution. You'll translate business goals into structured plans, lead cross-functional programs, and use data and experimentation to unlock growth. This role sits at the center of key decisions influencing how we grow, price, and operate across markets with strong visibility to senior leadership.
• In this role, you'll get to.
• Define and execute strategies within your scope which may span areas like pricing, channel performance, customer acquisition, retention, or go-to-market translating commercial priorities into testable hypotheses, scalable frameworks, and measurable outcomes.
• Lead experimentation roadmaps, including A/B tests and other measurement approaches, to evaluate impact and sharpen decision-making.
• Analyze large, complex datasets to surface trends, opportunities, and risks; build dashboards and executive-ready narratives that communicate performance clearly.
• Model business impact, evaluate trade-offs, and support planning around P&L, growth, and long-term value creation.
• Partner cross-functionally with Product, Finance, Corporate Strategy, Supply, and senior leadership to drive alignment and execution.
• Build playbooks and processes that enable repeatability and scale across markets, channels, or partners.
• Mentor and develop team members while contributing to a high-performance, test-and-learn culture.
• What we are looking for.
• 5+ years of experience in growth, marketing, pricing, strategy, analytics, revenue management, consulting, or related data-driven roles.
• Strong analytical and problem-solving skills comfortable turning ambiguity into clear frameworks and action plans.
• Hands-on experience with SQL, Tableau, or similar BI/analytics tools; proven ability to translate data into commercial recommendations.
• Practical experience with experimentation, measurement, and performance optimization.
• Strong business acumen: P&L drivers, unit economics, growth levers, and ROI.
• Excellent communication and stakeholder management skills, with the ability to influence senior and cross-functional audiences.
• High ownership and execution discipline in a fast-paced, collaborative environment.
• Bachelor's degree in Economics, Statistics, Engineering, Mathematics, Computer Science, Finance, or equivalent practical experience.
• It's great if you have.
• Experience in a high-growth digital business (e-commerce, travel, tech, fintech) or an analytically rigorous environment such as management consulting or internal strategy.
• Familiarity with statistical analysis, forecasting, machine learning, or hypothesis-testing frameworks.
• Experience using Python or R for analysis, modeling, or automation.
• People management experience hiring, coaching, and developing teams.
• Experience with external partners, affiliates, marketplaces, loyalty programs, or B2B/B2B2C channels.
• MBA or advanced degree (equivalent hands-on experience equally valued).
• Why join Agoda.
• Work on high-impact, global business problems with direct visibility to senior leadership.
• Shape commercial strategy in an organization that genuinely values analytical rigor, ownership, and experimentation.
• Build and scale initiatives that influence growth, profitability, and customer experience at a global scale.
• London.
• PricingStrategy.
• Travel.
• 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.

ทักษะ:

Automation, Negotiation, English

ประเภทงาน:

งานประจำ

• C-Suite Engagement & Trusted Advisory: Build and maintain high-impact, long-term relationships with C-level executives (CEOs, CIOs, CTOs, CFOs) and key decision-makers, confidently leading boardroom-level discussions..
• Consultative Selling & Value Positioning: Act as a strategic consultant to diagnose enterprise operational challenges, translating complex AI capabilities (GenAI, Machine Learning, Automation) into compelling commercial value propositions..
• Account Expansion & Deal Closure: Drive the expansion of existing major accounts and ...
• Strategic Proposal Management: Lead the preparation of high-stakes commercial bids, custom pricing models, contract terms, and comprehensive enterprise RFP responses..
• Internal Resource Collaboration: Serve as the central commercial coordinator, bringing in internal Pre-Sales Engineers and AI Scientists at the right moment to handle deep technical validation and architecture..
• Experience: 6+ years of proven success in enterprise software, technology, or high-value solution sales, with a strong focus on strategic account management and major enterprise relationship building..
• Track Record: A verifiable history of consistently meeting or exceeding revenue targets and closing complex, six-figure B2B enterprise or government transactions..
• Executive Presence: Impeccable professional presentation, polished demeanor, and the gravitas required to command the respect of top-tier corporate leaders..
• Technical Literacy: A strong conceptual understanding of enterprise AI, data analytics, and cloud ecosystems to speak credibly with technology buyers..
• Language & Communication: Exceptional fluency in professional English (written and spoken) with elite storytelling skills, complemented by local market fluency (Thai)..

ทักษะ:

Product Development, Recruitment, Tableau, YouTube, 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.
• Role summary.
• Agoda is looking for a strategic, data-driven leader to steer our global marketing investments. In this role, you aren't just spending a budget; you are managing a global P&L. You will bridge the gap between high-level financial targets and granular marketing execution, ensuring every dollar spent maximizes long-term profitability. You will define our global market strategy, own our Lifetime Value (LTV) frameworks, and lead a high-performing team to outpace the competition in a high-velocity travel market.
• This position grants you a "seat at the table" for Agoda's most critical commercial decisions. You will use.
• machine learning.
• and.
• predictive analytics.
• to solve the "game theory" of the online travel industry, where pricing and loyalty change by the hour.
• Drive marketing investment strategies to meet Finance P&L targets, balancing short-term volume with long-term margin optimization.
• Define and execute Agoda's global growth roadmap, identifying market opportunities and responding to competitor moves in real-time.
• Coordinate marketing spend across all digital channels (Performance, Brand, Meta) to ensure a cohesive and efficient global footprint.
• Together with the data science team, own and refine our definition of Lifetime Value (LTV); use these insights to shift the business toward high-value customer acquisition.
• Lead business forecasting efforts to predict market shifts and proactively adjust investment levels.
• Act as the primary liaison between Marketing, Corporate Strategy, Product, Finance and Supply to align and execute cross-functional initiatives.
• Lead and mentor a team of analysts, fostering a culture of rigorous experimentation and "get-things-done" ownership.
• Experience & Skills.
• Exceptional ability to translate complex data sets into actionable business strategies. Expertise in SQL, Excel, or data visualization tools is expected.
• Strong background in Revenue Management, Forecasting, Pricing, or Growth Equity. You understand how marketing levers impact the bottom line.
• Experience defining 1-3 year growth strategies in a global, fast-paced e-commerce or OTA environment.
• Familiarity with machine learning algorithms and technical product development you can speak the language of engineers and data scientists.
• Experience hiring and coaching high-potential talent in a multicultural, high-pressure environment.
• London.
• PricingStrategy.
• Travel.
• 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:

8 ปีขึ้นไป

ทักษะ:

Data Analysis, Recruitment, Accounting, Automation, YouTube, CPA, OCR

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 Opportunity.
• The.
• Finance Transformation Manager (AI/Task Mining).
• will lead AI-enabled process transformation across Finance Operations, with a strong focus on.
• Record to Report (R2R), Order to Cash (O2C), and Procure to Pay (P2P).
• This role will combine finance process expertise, continuous improvement, task and process mining, intelligent automation, and emerging AI capabilities to improve efficiency, scalability, control, and data quality within Finance. You will identify high-value transformation opportunities, translate finance pain points into practical digital solutions, and work cross-functionally with Finance, Product, Data, Engineering, and Technology teams to deliver sustainable outcomes.
• The successful candidate will help establish a scalable transformation pipeline from opportunity identification and business-case development through solution design, pilot, implementation, adoption, and benefit realization.
• In This Role, You Will.
• Lead end-to-end finance transformation initiatives across R2R, O2C, and P2P.
• Assess processes using process mining, task mining, value-stream mapping, and data analysis to identify inefficiencies, risks, and automation opportunities.
• Identify, prioritize, and evaluate use cases for GenAI, machine learning, OCR/IDP, RPA, workflow automation, and analytics.
• Translate Finance pain points into scalable AI-enabled solutions with Finance, Product, Data, Engineering, Technology, Risk, and Compliance teams.
• Develop business cases, transformation roadmaps, pilot plans, and benefits-tracking frameworks, and project-manage the implementations.
• Evaluate AI tools, automation platforms, and vendors based on business value, usability, data requirements, scalability, integration complexity, cost, risk, and controls.
• Lead proofs of concept and support the implementation, adoption, and scaling of successful solutions.
• Establish appropriate controls for AI-enabled processes, including human oversight, auditability, data quality, privacy, and compliance.
• Design Finance process-management standards, including process inventories, L3/L4 documentation, ownership models, SOPs, controls, and governance.
• Define process KPIs, baselines, targets, dashboards, and reporting frameworks in partnership with Data and Technology teams.
• What You'll Need to Succeed.
• Technical & Functional Skills.
• Hands-on transformation experience across at least two functions - R2R, O2C, and P2P.
• Practical knowledge of GenAI/Agentic AI, OCR/IDP, RPA, process mining, task mining, workflow automations and finance analytics.
• AI use case implementation experience is a must (Finance use case is preferred).
• Experience developing business cases, transformation roadmaps, process documentation, and KPI frameworks.
• Understanding of finance controls, data quality, auditability, privacy, and risk in automated or AI-enabled processes.
• Experience partnering with Product, Data, Engineering, Technology, Risk, or Compliance teams.
• Behavioral Attributes.
• Strong stakeholder management and influencing skills.
• Structured, analytical, and data-driven problem solver.
• Collaborative and comfortable working across functions.
• Clear communicator who can explain complex topics simply.
• Pragmatic and outcome-oriented, balancing innovation with value, risk, and scalability.
• Proactive, curious, and adaptable to emerging technologies.
• Focused on adoption, sustainable change, and measurable results.
• Bachelor's degree in.
• Finance, Accounting, Business, Engineering, Information Systems, or a related discipline.
• 8+ years of experience.
• in Finance Transformation, Finance Operations Excellence, process improvement consulting, intelligent automation, or a similar role.
• Proven knowledge of Business Process Management, including building process inventories and L3/L4 process documentation.
• Experience driving a continuous-improvement culture.
• Strong stakeholder-management, communication, facilitation, and influencing skills.
• Analytical, data-driven, and structured problem-solving approach.
• Experience in.
• e-commerce, travel, technology, fintech, or other digital-first industries.
• is highly preferred.
• LI-NS2.
• 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.

ทักษะ:

Data Warehousing, Risk Management, Data Analysis, TensorFlow, Big Data

ประเภทงาน:

งานประจำ

• Design, develop and deploy advanced machine learning and artificial intelligence models focused on financial risk analytics, credit risk assessment, market risk analysis and fraud detection.
• Lead the end-to-end data science lifecycle, from problem definition and data exploration through model validation, implementation and ongoing performance monitoring.
• Mentor and supervise junior data scientists and analytical staff, fostering a culture of excellence, continuous learning and collaborative problem-solving within the te ...
• Conduct comprehensive exploratory data analysis on large-scale financial datasets to identify patterns, anomalies and opportunities for predictive modelling.
• Develop robust statistical models and econometric frameworks to quantify and forecast financial risks across various asset classes and business segments.
• Create clear and compelling data visualisations and reports that translate complex analytical findings into actionable business recommendations for senior management and risk committees.
• Collaborate closely with risk management, compliance, trading and operations teams to understand business requirements and ensure analytical solutions align with strategic objectives.
• Establish and maintain rigorous model governance frameworks, including validation protocols, backtesting procedures and documentation standards to ensure regulatory compliance.
• Stay abreast of emerging trends, methodologies and technologies in financial AI, machine learning and risk analytics, and evaluate their applicability to our business.
• Optimise data pipelines and analytical infrastructure to enhance processing efficiency, scalability and data quality across analytical systems.
• What we're looking for.
• Master's degree or higher in Data Science, Machine Learning, Statistics, Mathematics, Physics, Computer Science or a related quantitative discipline.
• Minimum 7-10 years of professional experience in data science, machine learning engineering or advanced analytics, with at least 4-5 years specifically focused on financial services, risk analytics or quantitative finance.
• Demonstrated expertise in building and deploying machine learning models in production environments, with proficiency in supervised learning, unsupervised learning, ensemble methods and deep learning techniques.
• Strong proficiency in programming languages such as Python, R or Scala, with experience in relevant libraries and frameworks (e.g. scikit-learn, TensorFlow, PyTorch, XGBoost).
• Solid understanding of financial concepts including credit risk, market risk, operational risk, counterparty risk, regulatory capital requirements and risk measurement methodologies.
• Experience with big data technologies and distributed computing frameworks such as Apache Spark, Hadoop or cloud-based analytics platforms (AWS, GCP, Azure).
• Proven track record of leading analytical projects, mentoring junior staff and driving cross-functional collaboration in a complex organisational environment.
• Strong statistical knowledge including hypothesis testing, causal inference, time series analysis and experimental design.
• Experience with financial data sources, APIs and market data platforms; familiarity with data warehousing and ETL processes is advantageous.
• Excellent communication skills with the ability to present technical concepts clearly to both technical and non-technical audiences.
• Knowledge of financial regulations such as Basel III, IFRS 9, Dodd-Frank or equivalent regional frameworks is highly desirable.
• Certification in machine learning, data science or related disciplines is a plus.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Problem Solving, Data Analysis, Recruitment, Automation, Tableau, YouTube, Python, 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.
• THIS ROLE IS BASED IN BANGKOK, THAILAND (WITH RELOCATION PROVIDED).
• Location: Bangkok, Thailand (*Not open for remote work).
• As part of the Supply Analytics, you will be responsible for identifying new partners and opportunities, cultivating a relationship with them, and working together with them to deliver the best outcome for our end customers. You would also be responsible with managing the day-to-day interaction with the partner and working closely with other teams within Agoda to ensure the partners needs are met.
• We design tailored business and product solutions with our partners and help them generate measurable value. Members of our team are empowered and supported to grow their market(s) or accounts. We develop win-win relationships and leverage Agoda's unique accommodations portfolio and tech solutions to bring our partners the advantages they seek. Utilizing our strong brand and resources, we build new channels to increase the visibility of Agoda, introduce more travelers to our great products and service and deliver significant revenues to the overall business.
• As a Business Analyst, you will report directly to either the Senior Manager or Associate Director within the Supply Department and this will be an individual contributor role. You will be responsible and fully empowered to work with the partners on the ground. You will be supported by a team within the Supply department and work closely with other Team members within Agoda.
• In this Role, you'll get to.
• Translate internal briefs into analytical projects (to include refining the initial brief and asking the 'right questions', working through potential hypotheses and storyboarding the output).
• Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders.
• Proactively identify opportunities for growth within supply and the wider business.
• Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply.
• Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence.
• Automate manual operational processes and present back on time savings gained through modernization of business operations.
• What you'll Need to Succeed.
• At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BI.
• Advanced working knowledge and hands-on experience in SQL.
• Strong knowledge and hands-on experience in data visualization tools such as Tableau (preferably).
• Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R).
• Bachelor's degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
• A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.).
• Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite.
• Experience in conducting A/B testing experimentation.
• Strong experience in finding data insights and provide business recommendation to the business.
• A hacker's mindset - the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping.
• Excellent communicator with superior written, verbal, presentation and interpersonal communication skills.
• Data driven in both decision making and performance measurement.
• Extreme comfort in ambiguous, fast-paced environment.
• Ability to multi-task, prioritize and coordinate resources.
• MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
• Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience.
• Asian market experience.
• Travel industry / e-commerce / tech / consulting experience.
• sanfrancisco.
• 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.

ทักษะ:

Risk Management, Assurance, ISO 27001, Power BI, Tableau

ประเภทงาน:

งานประจำ

Are you ready to unleash your potential? At Deloitte, our purpose is to make an impact that matters for our clients, our people, and the communities we serve. We believe we have a responsibility to be a force for good, and WorldImpact is our portfolio of initiatives focused on making a tangible impact on society's biggest challenges and creating a better future. We strive to advise clients on how to deliver purpose-led growth and embed more equitable, inclusive as well as sustainable business practices. Hence, we seek talented individuals driven to excel and innovate, working toget ...

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Software Development, Project Management, Salesforce, English

ประเภทงาน:

งานประจำ

• At Cloudbeds, we're not just building software, we're transforming hospitality. Our intelligently designed platform powers properties across 150 countries, processing billions in bookings annually. From independent properties to hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers' biggest challenges. Since our founding in 2012, we've beco ...
• At Cloudbeds, we're not just building software, we're transforming hospitality. Our intelligently designed platform powers properties across 150 countries, processing billions in bookings annually. From independent properties to hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Join a global team of innovative professionals to tackle key challenges in hospitality using the latest technology in software development, data science, AI, and more. Since our founding in 2012, we've become the World's Best Hotel PMS Solutions Provider and landed on Deloitte's Technology Fast 500 again in 2024 - but we're just getting started.
• Location: Remote - (Thailand).
• As an Onboarding Coach, we're looking for someone who truly understands hospitality and can step into our clients' shoes to demonstrate how our system makes their lives easier. You'll care for our clients and their properties just as you would for a guest in a hotel always going the extra mile. In this role, you'll train clients on the system, tailoring it to fit their needs as a hospitality business. By asking the right questions, you'll get to know your clients and ensure that, by the end of the onboarding process, they have a complete understanding of and confidence in using the system.
• As part of our Customer Onboarding Team, you'll play a vital role in bringing our motto *"more reservations, happier guests" to life. Our team is close-knit and collaborative, living this motto every day by working closely together to provide exceptional support and ensure a seamless onboarding experience for our customers.
• If you're ready to make a difference and be part of an exciting journey, we'd love to have you on board!.
• Facilitate client onboarding, training, and ongoing support via video, phone, and email.
• Resolve customer inquiries and troubleshoot escalated issues across multiple channels.
• Partner with Sales to define success, demonstrate ROI, and drive retention.
• Build strong client relationships to encourage loyalty and promote product adoption.
• Develop a deep understanding of Cloudbeds' products and customer needs.
• Contribute to training materials and stay updated on system changes.
• Record activities in Salesforce, gather feedback, and share insights for product improvements.
• Communicate product offerings clearly and synthesize feedback for internal teams.
• Share customer insights and opportunities across departments to drive alignment.
• Manage multiple projects or accounts with strong organizational and proactive skills.
• Empower clients to become self-sufficient during onboarding and beyond.
• Deliver exceptional communication with empathy and a customer-focused approach.
• Bring over 3 years of 5-star hospitality experience in key roles (Front Desk or Revenue Manager) within a leading hotel brand, or possess at least 3 years of relevant SaaS industry experience in a customer-facing role.
• Fluency in English.
• Project Management certification.
• NOTE: PLEASE SUBMIT YOUR CV/RESUME IN ENGLISH.
• LI-LT1.
• What to Expect - Your Journey with Us.
• Behind Cloudbeds' revolutionary technology is a team of redefining what's possible in hospitality. We're 650+ employees across 40+ countries, bringing together elite engineers, AI architects, world-class designers, and hospitality veterans to solve challenges others haven't dared to tackle. Our diverse team speaks 30+ languages, but we all share one language: a passion for innovation and travel. From pioneering breakthroughs in machine learning to revolutionizing how hotels operate, we're not just watching the future of hospitality unfold - we're coding it, designing it, writing it, and shipping it. If you're ready to work alongside some of the brightest minds in tech who are obsessed with using AI to transform a trillion-dollar industry, this is your chance to be part of something extraordinary.
• Learn more online at.
• cloudbeds.com.
• Company.
• Awards.
• Best All-In-One Hotel Management System | HotelTechAwards (2025).
• Overall 10 Best Places to Work | HotelTechAwards (2025).
• Most Loved Workplace Certified (2024).
• Top 10 People's Choice (2024).
• Remote First, Remote Always.
• PTO in accordance with local labor requirements.
• Monthly Wellness Fridays - enjoy an extra-long weekend every month.
• Fully Paid Parental Leave.
• Home office stipend based on country of residency.
• Professional development courses in Cloudbeds University.
• Access to professional development, including manager training, upskilling and knowledge transfer.
• Everyone is Welcome - A Culture of Inclusion.
• Cloudbeds is proud to be an Equal Opportunity Employer that celebrates the diversity in our global team! We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
• [email protected]. Cloudbeds will provide an American Sign Language (ASL) interpreter where needed as a reasonable accommodation for the hiring processes.
• To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Cloudbeds. Staffing, recruiting agencies, and individuals being represented by an agency are not authorized to use this site or to submit applications, and any such submissions will be considered unsolicited. Cloudbeds does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Cloudbeds employees, or any other company location. Cloudbeds is not responsible for any fees related to unsolicited resumes/applications.
• LI-REMOTE.

ประสบการณ์:

15 ปีขึ้นไป

ทักษะ:

Procurement

ประเภทงาน:

งานประจำ

• THA-BKK-Bangkok City.
• Instrumentation and Controls.
• Full-time.
• Employment Type: Employee.
• Management Level: Individual Contributor.
• Jul 3, 2026.
• Aug 31, 2026.
• Reporting Manager Title: Senior Project Manager.
• About us.
• Worley is a global company of energy, chemicals and resources experts headquartered in Australia. We partner with our customers to deliver projects and create value across the life of their assets. We specialize in consulting, engineering, procurement and construction across the project lifecycle, with services extending through to operations and decommissioning. Leveraging extensive experience and AI-enabled delivery, we support customers in navigating complexity as they meet today's needs and transition to more sustainable solutions.
• Lead Instrumentation and Control engineering activities across FEED, detailed design, procurement, construction support, and commissioning phases.
• Deliver and review key engineering deliverables including instrument datasheets, specifications, instrument index, I/O lists, cable schedules, loop diagrams, hook-up drawings, and material take-offs.
• Develop and review instrumentation and control system designs including DCS, PLC, ESD/IPS, FGS, and machine monitoring systems.
• Provide technical leadership and guidance to Instrument Engineers and Designers to ensure quality and consistency of engineering deliverables within project schedule and budget requirement.
• Coordinate with multidisciplinary teams, clients, vendors, procurement, and construction personnel throughout project execution.
• Support proposal development, engineering estimates, project planning, and technical bid evaluations.
• Participate in design reviews, HAZOP workshops, constructability reviews, and client meetings as required.
• Support site activities including surveys, troubleshooting, commissioning, startup, and field engineering support when required.
• Ensure all work is performed in accordance with applicable codes, standards, project requirements, and company procedures.
• Demonstrate a clear understanding of project change management and effectively apply the process to scope variations.
• What you'll have.
• Bachelor's Degree in Instrumentation Engineering or related engineering discipline.
• 15+ years of Instrumentation and Control engineering experience in oil & gas, petrochemical, refinery, pipeline, offshore, or energy projects.
• Proven experience delivering FEED and detailed engineering projects within EPC/EPCM environments.
• Strong technical knowledge of field instrumentation, control systems, DCS, PLC, ESD/IPS, FGS, and industrial communication systems.
• Extensive experience preparing and reviewing instrumentation deliverables and engineering documentation.
• Demonstrated experience leading engineering teams and coordinating multidisciplinary project activities.
• Experience working directly with clients, licensors, vendors, and construction contractors.
• Strong problem-solving, communication, and stakeholder management skills.
• Ability to manage multiple priorities while maintaining quality and schedule commitments.
• Communicate ideas clearly and confidently in English, both verbally and through presentations.
• Continuously enhance knowledge through self-learning, take initiative in proposing new ideas, and challenge conventional thinking to drive innovation and improvement.
• Have the courage to provide constructive feedback and speak up about what is right and what is wrong.
• Moving forward together.
• We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. We're building a diverse, inclusive and respectful workplace. Creating a space where everyone feels they belong, can be themselves, and are heard.
• And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there's a path for you here.
• And there's no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Microsoft Azure, Architecture, Automation, Javascript, TypeScript

ประเภทงาน:

งานประจำ

Job Summary: Cloud Engineer to lead the design, architecture, and deployment of cloud infrastructure and MLOps environments supporting corporate AI projects and big data analytics. In this role, you will manage high-performance computing clusters (AI Compute Clusters), optimize model lifecycle pipelines from staging to production, and ensure a highly secure, resilient, and cost-efficient cloud platform. Responsibilities: Cloud Architecture & Infrastructure: Design and develop cloud-native, secure, and scalable infrastructures (primarily on Microsoft Azure) tailored for AI model pro ...

ทักษะ:

Recruitment, Cloud Computing

ประเภทงาน:

งานประจำ

Function Cloud & Data Engineering Our Company We're Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world's potential. We're people-centric and here to power good. Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our company and customers from what's now to what's next. We make it happen through the power of acceleration. Imagine the sheer breadth of talent it takes to bring a bette ...

ประสบการณ์:

8 ปีขึ้นไป

ทักษะ:

Data Warehousing, Architecture, Spring Boot, Kubernetes, Leadership Skill

ประเภทงาน:

งานประจำ

• Establish and maintain architecture standards, reference architectures, design patterns and technology guardrails; keep them current as the landscape evolves.
• Chair or contribute to the Architecture Review Board review and approve solution designs, ensuring compliance with security, data-privacy (PDPA), regulatory and operational requirements.
• Own the technology radar: evaluate emerging platforms and vendors, run proofs of concept, and make evidence-based adopt / trial / hold recommendations.
• Actively manage technical debt maintain a visible register, quantify its business impact, and secure funding for remediation within the delivery portfolio.
• Solution Design & Delivery- Lead end-to-end architecture for complex, cross-domain programmes: requirement analysis, solution options, trade-off analysis, high-level and detailed design, and non-functional requirements.
• Produce clear architecture artefacts context and container diagrams, sequence flows, data models, integration contracts, deployment topologies and Architecture Decision Records (ADRs).
• Define non-functional requirements (availability, scalability, latency, RPO/RTO, observability, security) and validate that delivered solutions meet them under peak retail load.
• Remain hands-on where it matters: prototype critical components, review code and infrastructure-as-code at key checkpoints, and troubleshoot high-severity production architecture issues.
• Partner with delivery leads on estimation, sequencing, dependency management and release strategy; keep architecture decisions in step with delivery reality.
• Retail, Commerce & Enterprise Systems- Architect solutions across the retail value chain POS and store systems, omnichannel commerce, order management, delivery and fulfilment, loyalty, payments, merchandising, supply chain and ERP.
• Design for the operational realities of a 15,000-store estate: intermittent connectivity, edge and offline-first store systems, phased nationwide rollout, and zero-downtime migration from legacy platforms.
• Lead modernisation of legacy and monolithic systems, defining pragmatic decomposition, strangler-pattern migration and coexistence strategies.
• Evaluate build-versus-buy decisions and lead technical due diligence on vendor and package solutions, including commercial and lock-in considerations.
• Cloud, Platform & Integration- Define cloud and hybrid architecture patterns across public cloud and Gosoft's Tier IV data centre, including workload placement, resilience, disaster recovery and cost optimisation (FinOps).
• Architect cloud-native and microservices solutions using containers and orchestration (Docker, Kubernetes/OpenShift), service mesh, and event-driven patterns with Kafka or equivalent streaming platforms.
• Own the enterprise integration and API strategy API gateway and management, REST/GraphQL/gRPC standards, messaging, and canonical data contracts between domains.
• Embed DevSecOps and platform-engineering practice: CI/CD, infrastructure as code, automated testing, progressive delivery, observability, and security scanning across the SDLC.
• Design for security by default: zero-trust principles, identity and access management, secrets management, encryption, and secure-by-design review of every solution.
• Data & AI- Architect enterprise data platforms data lakehouse, warehousing, batch and real-time pipelines, master data management and data governance across retail and customer domains.
• Define architecture for analytics, BI and machine-learning workloads, including MLOps pipelines, feature stores, model serving and monitoring.
• Design and govern the adoption of AI and generative-AI capabilities (RAG, agentic workflows, LLM integration), with clear guardrails for data privacy, cost, evaluation and responsible use.
• Ensure data architecture supports PDPA compliance, data lineage, quality and retention requirements end to end.
• Qualifications & Experience Required- Bachelor's degree or higher in Computer Science, Computer Engineering, Information Technology or a related field.
• 8+ years in software engineering and solution architecture, including at least 3 years in a lead, principal or enterprise architect capacity.
• Demonstrable track record architecting and delivering large-scale, high-availability, high-transaction-volume systems in production.
• Deep expertise across distributed systems, microservices, event-driven architecture, API design and integration patterns.
• Strong hands-on background in at least one major stack (Java/Spring Boot,.NET, Node.js, Go or Python) and the ability to review code credibly.
• Production experience with public cloud (AWS, Azure or GCP), containers and Kubernetes, and infrastructure as code (Terraform, Helm or equivalent).
• Solid grounding in data architecture relational and NoSQL databases, streaming (Kafka), data warehousing/lakehouse, and modern data pipeline design.
• Working knowledge of security architecture, identity and access management, and Thailand's PDPA and related regulatory requirements.
• Proven ability to produce clear architecture documentation and to influence stakeholders from engineer to executive level.
• Professional working proficiency in English and Thai.

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

Microsoft SQL Server, Digital Marketing, Data Analysis, Negotiation, Recruitment

ประเภทงาน:

งานประจำ

About Agoda 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 sa ...

ทักษะ:

Full Stack, SAP

ประเภทงาน:

งานประจำ

• บริหารและพัฒนาทีม Software Development และ Full Stack Developer ตั้งแต่การวิเคราะห์ ออกแบบ พัฒนา ทดสอบ และส่งมอบระบบ ให้มีคุณภาพ ตรงตามความต้องการของธุรกิจ และเป็นไปตามเป้าหมายขององค์กร.
• กำหนด Technical Direction, Software Architecture, Coding Standard และมาตรฐานการพัฒนาระบบ เพื่อยกระดับคุณภาพของซอฟต์แวร์ รองรับการขยายตัวของธุรกิจ และสามารถบำรุงรักษาระบบได้อย่างมีประสิทธิภาพในระยะยาว.
• ประสานงานกับ PMO, Business User และหน่วยงานที่เกี่ยวข้อง เพื่อรวบรวมความต้องการทางธุ ...
• วางแผนและผลักดันการนำ Artificial Intelligence (AI), Machine Learning, Automation และเทคโนโลยีดิจิทัลสมัยใหม่มาประยุกต์ใช้ เพื่อเพิ่มประสิทธิภาพการดำเนินงาน ยกระดับกระบวนการทำงาน และสนับสนุนการเติบโตขององค์กร.
• กำกับดูแลการให้บริการและการพัฒนาระบบ SAP ในภาพรวม พร้อมประสานงานกับ Gosoft และผู้เกี่ยวข้อง ติดตามผลการให้บริการตาม Service Level Agreement (SLA) วิเคราะห์ปัญหา และสนับสนุนการแก้ไขปัญหาร่วมกับทีม SAP เพื่อให้ระบบมีเสถียรภาพและสามารถรองรับการดำเนินธุรกิจได้อย่างต่อเนื่อง.
• บริหารจัดการโครงสร้างพื้นฐานด้านเทคโนโลยีสารสนเทศ (IT Infrastructure) รวมถึง Cloud Platform, Web Server และระบบ Cyber Security ให้มีความพร้อมใช้งาน มีความมั่นคงปลอดภัย และเป็นไปตามมาตรฐานขององค์กร.
• บริหารโครงการด้านเทคโนโลยีสารสนเทศ พร้อมติดตามความก้าวหน้า ประเมินความเสี่ยง และประสานงานกับทีมงาน ผู้ใช้งาน และผู้ให้บริการภายนอก เพื่อให้โครงการสำเร็จตามแผนงาน งบประมาณ และคุณภาพที่กำหนด.
• งานอื่น ๆ ที่เกี่ยวข้อง.
• ปริญญาตรีหรือสูงกว่า สาขาวิศวกรรมคอมพิวเตอร์ วิทยาการคอมพิวเตอร์ เทคโนโลยีสารสนเทศ หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์ด้าน Software Development หรือ Application Development ไม่น้อยกว่า 5 ปี และมีประสบการณ์บริหารทีมพัฒนาโปรแกรม.
• มีความรู้และความเข้าใจใน Software Development Life Cycle (SDLC) ตั้งแต่การวิเคราะห์ ออกแบบ พัฒนา ทดสอบ และส่งมอบระบบ.
• มีความรู้ด้าน Software Architecture, System Design และ System Integration พร้อมสามารถกำหนดมาตรฐานการพัฒนาระบบและ Coding Standard ได้.
• มีประสบการณ์บริหารทีม Full Stack Developer หรือทีมพัฒนาซอฟต์แวร์ รวมถึงสามารถให้คำแนะนำและพัฒนาศักยภาพของทีมได้.
• มีประสบการณ์ด้าน Project Management และสามารถบริหารโครงการด้วยแนวทาง Waterfall และ/หรือ Agile.
• มีความรู้หรือประสบการณ์ด้าน SAP ในระดับ Functional, Application Support หรือ Service Management จะได้รับการพิจารณาเป็นพิเศษ.
• มีความเข้าใจภาษาโปรแกรมและ Framework ที่หลากหลาย เช่น Java, JavaScript, PHP, Flutter, SQL, JasperReports หรือเทคโนโลยีที่เกี่ยวข้อง พร้อมสามารถเลือกใช้เทคโนโลยีที่เหมาะสมกับลักษณะงาน (Technology Agnostic).
• มีความรู้และสามารถประยุกต์ใช้ Generative AI, Large Language Models (LLMs), Prompt Engineering, AI APIs, Low-code/No-code Platform และเครื่องมือ AI-Assisted Development เช่น GitHub Copilot หรือ Cursor เพื่อเพิ่มประสิทธิภาพการพัฒนาซอฟต์แวร์.
• หากมีความรู้หรือประสบการณ์ด้าน Cyber Security, IT Infrastructure, Cloud Platform (AWS, Azure หรือ GCP), DevOps, CI/CD หรือ Container Technology จะได้รับการพิจารณาเป็นพิเศษ.
• สถานที่ปฏิบัติงานหลัก ซอยวิภาวดีรังสิต 62 (https://www.cpretailink.co.th/).
• สนใจสมัครงาน สามารถสมัครทาง Website http://job.cpall.co.th/ หรือ E-mail: [email protected] (ใส่หัวข้อเป็นตำแหน่งที่สนใจ).

ทักษะ:

Software Development, Recruitment, Assurance, Python, Docker, C++

ประเภทงาน:

ฝึกงาน

• Located in the heart of Bangkok's Phrom Phong District, Sertis is ASEAN's leading Data and AI engineering and solutions company. Since 2014, our advanced solutions and products have powered over 400 enterprise Data and AI deployments at the region's leading companies and conglomerates.
• We are also a member firm of Andersen Consulting, a global consulting practice integrating business strategy, digital transformation, and AI-driven technology solutions with Andersen Global's world-class expertise.
• What We Do.
• Sertis provides both productized and bespoke AI and Data solutions for our Customers, optimizing and commercializing their data in ways that activate real business results. Our 140+ team have developed product offerings and IP ranging from advanced Computer Vision applications accredited Global Top 20 by NIST, to automated insights monetization for Retailers, eKYC for financial institutions, AI-driven agricultural safety assurance, precision steel cutting, trading algorithms for hedge funds, and enterprise knowledge management systems based on AI.
• Our Aspiration.
• We are data and AI pioneers, dedicated to enhancing the economic and social lives of our customers via technology. We are not just living in history, we are making history everyday. In becoming one of the world's leading Data and AI companies, we always double-down on remaining a place where a diverse mix of talent wants to come, do their best work, and stay. We pride ourselves on bringing the best talent worldwide into a culture that encourages learning, growth opportunities, innovative contributions, and a sense of ownership.
• As part of Andersen Consulting, we are committed to delivering best-in-class Data and AI solutions aligned with a global platform known for innovation, integration, and impact while continuing to set benchmarks in the region and beyond.
• sertiscorp.com.
• This role is for candidates who are available to work as interns during.
• Winter Internship 2026.
• Who is Sertis?.
• Sertis is a leading Data and AI company based in the heart of Bangkok. We provide both off-the-shelf and customized solutions for our clients ranging from data infrastructure, BI development, and data-driven business insights to forecasting, optimization, and computer vision. Our expert team of data and AI consultants work closely with clients, across different industries such as retail, manufacturing, banking, energy, airlines, agriculture, and healthcare, to understand their business needs and deliver bespoke solutions using cutting-edge technologies that are just right for them.
• Our aim is to be one of the leading Data and AI companies globally, where a diverse mix of talent want to come, stay, and do their best work. We pride ourselves on bringing not only the best, but also nice, talent from around the World. We recognise that our company runs on our people's hard work and dedication while maintaining a culture that encourages learning, growth opportunity, innovative contribution, and a sense of ownership.
• https://www.sertiscorp.com/.
• As a.
• Machine Learning Engineer Intern at Sertis,.
• you will gain hands-on experience supporting the productionization of data science research and AI-driven solutions. You will work alongside experienced ML engineers to understand how AI models are deployed on diverse hardware platforms, assist in building MLOps infrastructure, and contribute to writing production-grade software for model inference. This internship is an excellent opportunity to apply your academic knowledge to real-world generative AI projects and agentic systems within a fast-paced, collaborative environment.
• Support cross-functional teams in understanding business requirements and contribute to designing ML solutions to address those needs.
• Assist in.
• developing and maintaining scalable infrastructure for model training and deployment.
• under the guidance of senior engineers.
• Help.
• develop cloud-native APIs, pipelines,.
• and general software components for model inference.
• Gain exposure to cutting-edge foundation models and assist in.
• building agentic systems f.
• rom scratch.
• Assist in troubleshooting and resolving issues related to generative AI models and their implementations.
• Contribute to writing and maintaining clear technical documentation.
• Currently studying a.
• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• A foundational.
• understanding of machine learning concepts and the Software Development Life Cycle (SDLC).
• Good programming skills in Python., and ideally some familiarity with C++ or other languages used in ML applications.
• An awareness of Generative AI concepts and curiosity about real-world AI applications.
• Some exposure to LLM APIs.
• such as OpenAI or Hugging Face through coursework, projects, or self-study.
• Good communication and interpersonal skills to effectively work with team members.
• A basic understanding of REST APIs and git version control; familiarity with CI/CD and MLOps principles is a plus.
• Any exposure to cloud platforms (AWS, GCP, or Azure) is a plus.
• Some familiarity with Docker and containerization concepts is a plus.
• This is your chance to build your career in a growing data-driven and AI industry.
• APPLY NOW!.
• Sertis may collect, use, or disclose your personal data or personal data of other persons provided by you in order to carry out your recruitment process. For more information, please refer to our.
• Recruitment Privacy Notice.