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Experience:

1 year required

Skills:

Professional publications, Teamwork, Good Communication Skills, Meet Deadlines, High Responsibilities, English

Job type:

Full-time

• เรียบเรียงข้อมูลที่ได้รับจากลูกค้า และ นำออกมาทำเป็น Output ที่ลูกค้าต้องการ (เช่น คู่มือการใช้งานสินค้า เป็นต้น).
• ตรวจสอบและแก้ไขข้อผิดพลาดใน Layout ตัวสะกด เครื่องหมายวรรคตอน และไวยากรณ์.
• ติดต่อลูกค้าเพื่อหารือเกี่ยวกับ Project ที่ได้รับมอบหมายและแก้ไขปัญหาที่พบ..
• รับผู้มีประสบการณ์ทำงาน.
• ทักษะด้านภาษาอังกฤษ (TOEIC: 800~).
• มีทักษะในการใช้คอมพิวเตอร์ และโปรแกรมสำนักงานพื้นฐาน (MS office, Google tools).
• มีทักษะการเขียนที่ดี.
• มีความใส่ใจในรายละเอียด.
• มีความสนใจเกี่ยวกับความรู้เรื่องเครื่องจักรกลการเกษตร (ไม่จำเป็นต้องมีความรู้ด้านเทคนิคมาก่อน.
• ประกันสังคม
• ประกันชีวิตกลุ่ม
• ค่าล่วงเวลา
• วันลาพักร้อน
• กองทุนสำรองเลี้ยงชีพ
• ตรวจสุขภาพประจำปี
• วัคซีนไข้หวัดใหญ่
• ค่าอาหารกลางวัน/เย็น
• ค่าเดินทาง
• งบประมาณสำหรับพัฒนาความสามารถ
• เงินรางวัลพัฒนาการด้านภาษา
• วันลาพิเศษ และ เงินช่วยเหลือ เนื่องในโอกาสพิเศษต่าง ๆ
• ระบบเวลาการทำงานแบบ Flexible
• Bonus (ขึ้นอยู่กับผลประกอบการบริษัท)
• ฯลฯ.
• บริษัท อาคากาเนะ (ไทยแลนด์) จำกัด เป็นบริษัทสัญชาติญี่ปุ่น เปิดให้บริการภายในไทยมานานกว่า 15 ปี โดยบริการของทางเราก็จะมีตั้งแต่ จัดการและแปรรูปข้อมูลในรูปแบบต่างๆ โดย Output จะออกมาในรูปแบบของสื่อที่หลากหลาย รวมถึงรองรับการแปลในหลายภาษา ตามความต้องการของลูกค้า เช่น Catalog เอกสาร Engineering data คู่มือ ใบปลิว ข้อมูลสำหรับ Website วิดีโอ เป็นต้น รวมถึงมีบริการเสนอ Solution ทางด้าน IT ช่วยดูแล หรือ พัฒนาโปรแกรมต่าง ๆ ให้กับลูกค้าอีกด้วย ในส่วนของลูกค้าหลักที่ทำธุรกิจอยู่ด้วยกันในปัจจุบัน ก็จะเป็นบริษัทญี่ปุ่น ในอุตสาหกรรมต่างๆ ทั้งธุรกิจเครื่องปรับอากาศ เครื่องจักรกลการเกษตร ผู้ผลิตและจัดจำหน่ายเครื่องจักรและชิ้นส่วนต่างๆ เป็นต้น.

Experience:

3 years required

Skills:

Automation, English

Job type:

Full-time

• Maintaining the interactions with the active customers and identifying new client account as well as new business possibilities
• Selling the products and services to active customers of the company and convincing them about their usability and advantages
• Making the customers understand about the various products and services by explaining to them about the same in their local language
• Ensuring that the requirements of the international clients are met by modifying the products and services of our company to provide
• Treating and greeting the customers very well and making them go through the purchasing methods and procedures
• Attending international sales meetings, seminars and conferences arranged within the company or between the company and the customers to boost the sales profits
• Managing the inquiries and questions from the customers and clearing all their doubts on the products and services
• Convincing the customers to buy the machines or related products and services of the company
• Searching for opportunities that enhance the sales and benefit to the clients
• Administering the sales area that were allocated and planning effectively to manage time and generate profits by maintaining the sales
• Submitting the reports, records, presentations and sales documents to the Managing Director
• Maintaining the daily, weekly, quarterly, half yearly and annual sales reports and records
• Upholding the bills, financial statements and records of expenditures of the international travels occurred
• Undertaking any new relevant tasks as maybe directed by Managing Director from time to time.
• Bachelor's Degree in Mechanical, Electrical, or Industrial Engineering or equivalent is preferred
• At least 3 years of industry segment experience is preferred (Bakery / Fast-Moving Consumer Goods)
• English communication required, fair to good level of writing and speaking is acceptable
• Computer literacy, having basic skills of Microsoft Office, proficient in AutoCAD is advantage
• Own Vehicle with activated driving license & good driving skill
• Customer service orientated
• Self-managed but able to prioritize the work to fit with our company s results-oriented culture
• Good personality and outgoing with strong interpersonal and communication skills
• Analytical ability to effectively identify and resolve problems independently
• Ability to work independently and set own schedule
• Flexible to work extra hours and able to travel aboard and upcountry
• Working experience in foods industrial environment would be benefit, knowledge base in automation background is preferrable..
• Benefit.
• Basic Salary depends on educational background and work experience (Negotiable)
• Car Allowance
• Mobile Phone Allowance
• Sales Commission from new sales project (Individual Performance)
• Group Life Insurance cover for Death and Accidental including to IPD cases
• Medical Expenses claimed with company for OPD case
• Provident Fund
• Annual leave 10 days/year
• Annual Health Check-up
• Company s gathering party and outing trip (on occasion).
• Working Hour.
• 08:30 - 17:00.
• Holiday.
• Working Days: Mon-Sat (switching 2 days working on Saturday in each month).
• บริษัทต้องการคนที่เคยขายเครื่องจักรอุตสาหกรรมทำอาหารประเภทไหนก็ได้ เช่น bakery หรือ FMCG แต่ต้องเป็นรูปแบบเครื่องจักรทำอาหารเท่านั้น**
• หากไม่ได้เรียนจบสายวิศวะแต่เคยขายเครื่องจักรทำอาหารมาโดยตรง สามารถรับพิจารณาได้เช่นกัน**
• ไม่รับพิจารณาผู้สมัครที่เปลี่ยนงานบ่อยหรือเป็น job hopper (อย่างต่ำต้องทำ 3 ปีขึ้นไป)**
• ตำแหน่งนี้จะต้องพาลูกค้าไปเยี่ยมชมเครื่องจักรทำอาหารที่ นครปฐม ค่อนข้างบ่อย**
• (เงินเดือนผู้สมัครขึ้นอยู่กับประสบการณ์ของผู้สมัคร)
• Noted: รบกวนอ่านทุกครั้งก่อน apply
• หากเป็นผู้สมัครที่มีประสบการณ์ตรงมาก่อน 1-2 ปี เงินเดือนจะต้องเริ่มต้นที่ 25k - 30k
• หากผู้สมัครมีประสบการณ์ตรงในสายนี้ 3-5 ปีขึ้นไป จบตรงในสายนี้มาก่อน เงินเดือนจะขึ้นอยู่กับประสบการณ์ที่ผ่านมา 40k - 55k (แต่ถ้ามีประสบการณ์มาก่อน แต่ไม่ตรงสาย จะยังไม่รับพิจารณา).

Skills:

Architecture, Recruitment, Automation, YouTube, DevOps, Scala, Scrum, Java, C#

Job type:

Full-time

• 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 Data department oversees all of Agoda's data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. 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 Data team plays at Agoda is critical as business users, product managers, engineers, 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 Data department, but also the reward.
• As an.
• Engineering Manager, Backend/Data.
• at Agoda, you will lead a team of talented engineers in building and scaling robust backend and data platforms that power critical products and services at Agoda. You will drive the design and development of distributed systems, data pipelines, and high-throughput, low-latency services, while ensuring reliability, scalability, security, and operational excellence.
• This role also offers the opportunity to work on.
• fintech-related platforms and transaction-heavy systems., including areas connected to payments, financial operations, and other business-critical flows where accuracy, resilience, and performance are essential.
• Lead a high-performing engineering team while staying hands-on with coding, code reviews, and technical guidance.
• Coach engineers through technical problem-solving, design discussions, and day-to-day development.
• Architect scalable, reliable, and maintainable systems in a high-traffic, data-intensive environment.
• Drive engineering across backend services, infrastructure, performance, data, client-facing systems, and.
• fintech-related platform capabilities.
• Own production systems, including operational health, scalability, reliability, maintainability, and security.
• Shape engineering best practices across software design, architecture, testing, system operations, and secure engineering.
• Develop people through mentoring, feedback, and career growth support.
• Hire and scale strong engineering talent.
• Partner with cross-functional stakeholders to deliver impactful business, product, and platform outcomes.
• Use data-driven decision making to improve team effectiveness and delivery.
• Demonstrate strong hands-on coding ability in at least one language such as Java, Scala, or C#.
• Bring strong experience in systems architecture and scalable, fault-tolerant distributed systems.
• Show experience as a system owner with operational responsibility for production services.
• Apply knowledge of lower-level engineering concepts such as garbage collection, threading, and context switching.
• Operate effectively in a DevOps culture with exposure to automation, CI/CD, and Agile / Scrum.
• Maintain good understanding of application security and secure engineering practices.
• Lead engineering teams with 5+ direct reports and a strong track record of building and developing talent.
• Communicate clearly, manage stakeholders effectively, and operate with strong ownership and autonomy.
• Practice data-driven decision making in delivery and engineering management.
• Bring the ability to operate effectively in environments involving.
• transaction-heavy, reliability-sensitive, or fintech-related systems.
• Demonstrate proficiency in more than one programming language.
• Bring experience with large-scale distributed systems in high-growth or high-traffic environments.
• Show exposure to.
• travel tech, e-commerce, marketplace, or fintech platforms.
• Understand data engineering or machine learning team environments.
• Bring prior experience hiring and scaling teams rapidly.
• Have experience working on.
• payments, financial systems,or other transaction-focused platforms.
• sanjose.
• 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.

Experience:

5 years required

Skills:

Quality Assurance, Automation, Leadership Skill

Job type:

Full-time

• Define and execute the overall QA strategy, transitioning toward a highly automated CI/CD model.
• Lead the QA transformation journey by shifting quality metrics "left" across the software development lifecycle.
• Establish, monitor, and report key quality metrics, KPIs, and SLAs to executive leadership.
• Architect and scale robust test automation frameworks across web, mobile, and API layers.
• Research, pilot, and implement AI/ML tools (e.g., AI-assisted test generation, self-healing scripts) to boost productivity.
• Adopt cutting-edge testing practices, tools, and industry trends.
• Lead, mentor, and grow a team of internal QA Engineers, QA Leads, and vendor partners while managing budgeting and resource allocation.
• Maintain strict compliance with financial regulations, data privacy, and security standards across all QA practices.
• Oversee non-functional testing, including performance, load, stress, and security/penetration testing.
• Experience: 10+ years in QA (strong hands-on automation background) + 5+ years in QA leadership.
• Domain: Deep expertise in Banking, FinTech, or Financial Services.
• Technical: Strong automation (Selenium, Cypress, Playwright, Appium), APIs, CI/CD, cloud, and performance testing tools.
• Mindset: Enthusiastic about leveraging AI and automation to streamline engineering workflows.
• Education: Bachelor's or Master's in computer science, Engineering, or equivalent.

Experience:

15 years required

Skills:

Electrical Engineering, Industrial Engineering, Enthusiastic, Architecture, Electronics

Job type:

Full-time

• Lead, grow, and develop a distributed team of AI/ML engineers who work across manufacturing sites and solve site-specific operational problems.
• Establish the technical vision, engineering standards, delivery practices, and talent strategy for manufacturing AI across the organization.
• Create a strong partnership model with plant leadership, manufacturing engineering, process engineering, yield, quality, operations, IT, and enterprise data teams.
• Balance local site responsiveness with reusable platforms, common architectures, shared components, and responsible AI practices that scale across plants.
• Set and execute a multi-year roadmap for AI/ML applications in manufacturing, aligned to business priorities and measurable operational outcomes.
• Identify and prioritize high-impact opportunities across process optimization, yield improvement, visual inspection, defect classification, predictive maintenance, anomaly detection, root-cause analysis, quality, scheduling, and engineering productivity.
• Guide the architecture, design, development, validation, deployment, and lifecycle management of production-grade AI/ML systems used in manufacturing workflows.
• Define engineering patterns for data pipelines, feature and model management, experiment tracking, APIs, user interfaces, monitoring, cybersecurity, reliability, and model performance management.
• Ensure solutions work with real manufacturing data and systems, including MES, SPC, QMS, equipment and sensor data, inspection systems, yield systems, ERP, databases, engineering reports, and other structured and unstructured sources.
• Drive disciplined problem definition and value measurement, connecting technical delivery to improvements in cycle time, throughput, yield, scrap, quality, cost, safety, and decision speed.
• Partner with site teams to understand workflows, constraints, process variation, data quality, user needs, and adoption barriers; ensure solutions are usable by engineers, operators, and business stakeholders.
• Build and maintain strong relationships with senior manufacturing and technology leaders, communicating technical tradeoffs, risks, investment needs, and results with clarity.
• Promote effective use of classical machine learning, deep learning, computer vision, optimization, statistical methods, LLMs, and generative AI where they are fit for purpose.
• Establish governance for responsible, secure, explainable, and maintainable AI in manufacturing, including validation, human oversight, change control, and production support.
• 15+ years of progressive experience in software engineering, AI/ML engineering, data science, or a closely related technical discipline, including significant leadership experience.
• Bachelor's or master's degree in engineering, computer science, electrical engineering, industrial engineering, data science, or a related field; advanced technical education is preferred.
• Deep hands-on understanding of software engineering practices, distributed systems, cloud or edge architectures, APIs, data platforms, testing, observability, security, and production operations.
• Practical knowledge of manufacturing processes, process variation, yield, quality systems, equipment data, inspection, traceability, root-cause analysis, and the realities of plant operations.
• Willingness and ability to travel 30% or more to manufacturing sites and partner locations.
• Preferred Qualifications.
• Experience in semiconductor, photonics, electronics, optical components, precision manufacturing, or other high-volume advanced manufacturing environments.
• Experience with manufacturing software and data ecosystems such as MES, SPC, QMS, ERP, equipment automation, inspection platforms, historian systems, and yield management systems.
• Experience scaling AI/ML capabilities across multiple plants, regions, or business units with different processes, data maturity, and operating models.
• Experience applying generative AI, knowledge retrieval, agentic workflows, or LLM-enabled tools to manufacturing, engineering, quality, or operations use cases.
• We are an equal opportunity employer and value diversity at our company.
• We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
• We will ensure that individuals with disabilities are provided 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 accommodation.

Skills:

Electrical Engineering, Product Development, Financial Reporting, Project Management, Problem Solving, Recruitment, Negotiation, Accounting, Assembly

Job type:

Full-time

• Ability to manage/lead complex, multiple line engineering projects that may also involve other functions. Demonstrate solid understanding of the technical, financial and people aspects of the project. Able to create a project/change management plan and ensure that the project is delivered within the assigned time and budget. Ability to recognize project barriers and develop mitigation plans.
• Leadership.
• Demonstrate "People & Team Leadership Behaviors" as per Celestica Leadership Imperat ...
• Financial Acumen / Business Planning.
• Ability to create financial plans for your projects, align them internally with your line of management and other functions and externally if needed. Create project plans, profitability calculations, risk and sensitivity analysis, able to recognize barriers and mitigate profitability risks. Fully knowledgeable about internal and external financial reporting, accounting and tax requirements relevant to your area of expertise.
• The following competencies may also be required: Coaching/Mentoring; Communication/Negotiation/Presentation; Creative Problem Solving; Customer Interaction/Stakeholder Management; Quality & Lean; Working Effectively with Others; D/PFMEA; 8D/Corrective Action; Equipment Safety; Design of Experiments (DOE).
• Typical Experience.
• 10+ years of work experience in PCB assembly manufacturing field.
• Typical Education.
• Degree or higher in Mechanical/Chemical/Electrical Engineering or equivalent.
• Notes.
• This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time.
• Celestica is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on any protected status (including race, religion, national origin, gender, sexual orientation, age, marital status, veteran or disability status or other characteristics protected by law).
• At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. Special arrangements can be made for candidates who need it throughout the hiring process. Please indicate your needs and we will work with you to meet them.
• Celestica (NYSE, TSX: CLS) enables the world's best brands. Through our recognized customer-centric approach, we partner with leading companies in Aerospace and Defense, Communications, Enterprise, HealthTech, Industrial, Capital Equipment and Energy to deliver solutions for their most complex challenges. As a leader in design, manufacturing, hardware platform and supply chain solutions, Celestica brings global expertise and insight at every stage of product development - from drawing board to full-scale production and after-market services for products from advanced medical devices, to highly engineered aviation systems, to next-generation hardware platform solutions for the Cloud. Headquartered in Toronto, with talented teams spanning 40+ locations in 13 countries across the Americas, Europe and Asia, we imagine, develop and deliver a better future with our customers.
• Celestica would like to thank all applicants, however, only qualified applicants will be contacted.
• Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.

Experience:

8 years required

Skills:

Cost Estimation, Procurement, Purchasing, English, Thai

Job type:

Full-time

• To plan, define standards and guidelines, and design the Core Transport DWDM/ASON network to support Mobile, Broadband, and Corporate Data services, ensuring nationwide coverage in alignment with company objectives and meeting high-bandwidth enterprise customers.
• To evaluate and manage end-to-end project budgets and outcome. To oversee vendor & supplier performance and govern Managed Service Providers and business partners.
• To provide technical advisory in procurement processes and contract development to e ...
• Own Core Transport DWDM/ASON network design and capacity planning.
• Research technology trend and develop technical requirement to match business's needs.
• Write and approve technical specification as well as acceptance criteria.
• Assess vendors' proposal. Identify Pros and Cons.
• Gather requirement from both internal and external customer. Create High Level Design and plan for capacity expansion. Summarize the scope and cost estimation.
• Finalize BOQ and proceed purchasing in parallel with shipment plan.
• Lead across-function with authority on Core Transport DWDM/ASON vendor & supplier performance management (including their projects) and governance of Managed Service Providers and business partners.
• Set priorities and allocate resources across projects regarding Core Transportation DWDM/ASON budget planning and management.
• Expert on contract and procurement in technical part.
• Bachelor's Degree in Engineering, Telecommunications, or a Related Field.
• 8 years in Transmission planning, 5 years in Project implementation and management.
• Advanced transmission technology.
• Basic Mobile 5G knowledge.
• Basic Broadband FTTx knowledge.
• Good command on both English and Thai.
• True Tower 1 (Ratchadaphisek Road).

Skills:

Electronics, Automation

Job type:

Full-time

The company, founded in 1988, is one of the leading producers in the world for power and thermal management solutions. Delta is also a major regional player in several product segments including industrial automation, displays, and networking. As an energy-saving solutions provider with core competencies in power electronics and innovative research and development, Delta's business categories include Power Electronics, Automation, and Infrastructure.

Experience:

6 years required

Skills:

Cloud Computing, Architecture, Postgre SQL, Automation, Leadership Skill

Job type:

Full-time

• AI & Advanced Analytics Enablement.
• Lead the design, development, and deployment of enterprise AI, Machine Learning, and Generative AI solutions to support business transformation (e.g., pricing, promotion, automation, recommendation, demand forecasting, customer insights, and intelligent decision support).
• Build and manage scalable data pipelines supporting AI/ML model training, inference, feature engineering, Feature Store, RAG knowledge bases, and LLM applications.
• Develop reusable datasets, AI-ready data products, feature engineering pipelines, and semantic data models for AI Engineers, Data Scientists, and Business Analytics teams.
• Partner closely with AI Engineers to design, deploy, productionize, and scale AI/ML models, LLM applications, Agentic AI, AI Chatbots, Recommendation Systems, and Mobile AI applications.
• Design and maintain data ingestion pipelines for structured, semi-structured, and unstructured data from enterprise systems, APIs, databases, files, event streams, IoT devices, and third-party platforms.
• Develop scalable data pipelines supporting document ingestion, embedding generation, metadata management, vector indexing, and retrieval workflows for RAG applications.
• Identify opportunities to embed AI into business workflows and operational decision-making to improve efficiency, customer experience, and business value.
• Data Platform & Engineering Leadership.
• Own end-to-end enterprise data architecture from source systems to Data Lake, Lakehouse, Data Warehouse, Feature Store, Semantic Layer, and AI-serving layers.
• Design, develop, and optimize scalable ETL/ELT pipelines supporting batch, micro-batch, streaming, and near real-time data processing.
• Design and maintain workflow orchestration for enterprise data pipelines using Databricks Workflows, Apache Airflow, or equivalent orchestration frameworks.
• Develop enterprise-scale Big Data solutions using Apache Spark and distributed computing frameworks.
• Design scalable logical and physical data models while optimizing database architecture for performance, scalability, reliability, and cost efficiency.
• Ensure enterprise data quality, governance, lineage, metadata management, observability, security, and compliance across data platforms.
• Implement automated data validation, monitoring, logging, alerting, and observability to ensure production-grade data reliability.
• Optimize SQL queries, Spark workloads, partitioning strategies, storage formats, and compute resources for maximum performance and cost efficiency.
• Analyze complex technical issues, identify root causes, troubleshoot production problems, and recommend infrastructure and platform improvements.
• Select, evaluate, and integrate modern data engineering tools, cloud technologies, and AI platform frameworks to support evolving business needs.
• Continuously evaluate emerging technologies in Big Data, Lakehouse Architecture, Data Platform Engineering, Cloud Computing, and AI Platform Engineering.
• AI Platform & Infrastructure.
• Build and maintain enterprise AI data infrastructure supporting LLM, RAG, Agentic AI, AI Chatbots, Recommendation Engines, Intelligent Search, and Intelligent Automation platforms.
• Design and implement scalable AI data pipelines supporting batch, streaming, vector search, embedding pipelines, and Retrieval-Augmented Generation (RAG) architectures.
• Design scalable APIs, data services, and integration layers connecting AI applications with enterprise systems and digital platforms.
• Collaborate with AI Engineers to prepare high-quality datasets for LLM fine-tuning, prompt engineering, model evaluation, inference, and continuous model improvement.
• Support deployment and operationalization of AI products using DataOps, MLOps, CI/CD, containerization, and modern software engineering practices.
• Drive continuous improvements in platform scalability, availability, security, observability, resilience, and operational efficiency.
• Team Leadership & Capability Building.
• Lead, mentor, and develop a high-performing team of Data Engineers, AI Engineers, and Analytics professionals.
• Foster engineering excellence through best practices in architecture design, coding standards, testing, code reviews, deployment, technical documentation, and software engineering.
• Drive architecture reviews, technical design reviews, engineering governance, and platform standardization across the engineering organization.
• Define engineering standards, technical roadmaps, platform architecture, and technology strategy aligned with business objectives.
• Collaborate closely with Product Owners, Business Stakeholders, AI Engineers, Data Scientists, Solution Architects, Infrastructure, and DevOps teams.
• Provide hands-on technical leadership with a strong engineering mindset and willingness to troubleshoot complex production systems.
• Promote continuous learning, knowledge sharing, innovation, and adoption of emerging technologies across the engineering team.
• Bachelor's degree or higher in Computer Science, Computer Engineering, Information Technology, Artificial Intelligence, Data Engineering, Management Information Systems, or a related field.
• 6+ years of experience in Data Platform Engineering, Data Engineering, Big Data, or AI Platform development, with experience leading engineering teams.
• Strong experience designing and implementing enterprise-scale Data Lake, Lakehouse, Data Warehouse, or Modern Data Platform architectures.
• Expert proficiency in SQL, Databricks SQL, PostgreSQL, database design, and query performance optimization.
• Strong programming skills in Python.
• Hands-on experience with Apache Spark, Databricks, Delta Lake, Spark SQL, Unity Catalog, and distributed data processing.
• Strong experience designing and developing scalable ETL/ELT pipelines and workflow orchestration.
• Experience with streaming technologies such as Spark Structured Streaming, Kafka, or equivalent.
• Experience building enterprise-scale data platforms supporting AI/ML, Advanced Analytics, and Generative AI applications.

Experience:

3 years required

Skills:

node.js, Python

Job type:

Full-time

• Build and maintain applications, APIs, and pipelines that support AI models.
• Write clean, maintainable, AI-first code and participate in code & model reviews.
• Optimize AI solutions for latency, reliability, scalability, and performance.
• Ensure production AI systems meet quality, availability, and compliance standards.
• Stay updated on AI/ML frameworks and best practices, suggesting improvements to systems and processes.
• Bachelor's or Master's degree in Computer Science, AI, Software Engineering, or related field.
• Strong programming skills in Python, Node.js, or similar languages.
• Experience building AI applications, APIs, and integrating AI/ML models into scalable systems.
• Experience with AI/ML frameworks, LLM frameworks, and model serving tools.
• Understanding of system performance optimization, scalability, and reliability.

Experience:

6 years required

Skills:

Data Entry, Automation, Assembly, SAP

Job type:

Full-time

• Remote Position: No.
• Region: Asia.
• Country: Thailand.
• State/Province: Chonburi.
• City: Laem Chabang.
• General Overview.
• Functional Area: Engineering.
• Career Stream: Equipment Engineering Manufacturing.
• SAP Short Name: MG1-ENG-EQM.
• IC/MGR: Manager.
• Direct/Indirect Indicator: Indirect.
• Summary.
• The Manager, Manufacturing Equipment Engineering is responsible for leading and managing the employees who develop and/or source manufacturing equipment to support manufacturing operations goals. Scope of the role for employees may include design and development of equipment, qualification, deployment to manufacturing, improving performance and supporting programs to optimize efficiencies while maintaining a safe working environment.
• Detailed Description.
• Initiate the development and implementation of off the shelf standard solutions and/or new standard automation solutions to support customer product road map using Celestica Automation E2E process and tools such as Business Case, Design for Automation Assembly (DFAA) and smart sheet Project Planning.
• Initiate the hardware and software improvements of automated lines and off the shelf equipment, via the analysis of Overall Equipment Efficiency (OEE) and other available data.
• Lead the collaboration and the communication with multiple internal and external stakeholders including solution providers for design approval.
• Point of escalation for complex technical problems.
• Be accountable for the installation, qualification, maintenance and operational performance of complex equipment within a value stream or overall responsibility for common equipment sets across the entire factory.
• Support capital planning processes with the leadership team, develop forecasts for equipment capacity and recommend CapEx plans to meet site targets.
• Set yearly plans and goals for the department and give direction on expected performance and provide regular performance evaluations and ongoing feedback. Accountable for all department objectives and achieving agreed targets for key performance indicators.
• Knowledge/Skills/Competencies.
• Refer to technical skills below.
• Physical Demands.
• Duties of this position are performed in a normal office environment.
• Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data.
• Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required.
• Occasional travel may be required.
• Typical Experience.
• 4 to 6 years in a similar role or industry.
• Typical Education.
• Bachelor degree or consideration of an equivalent combination of education and experience.
• Educational Requirements may vary by Geography.
• Notes.
• This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time.

Experience:

6 years required

Skills:

Data Entry, Automation, Assembly, SAP

Job type:

Full-time

• Remote Position: No.
• Region: Asia.
• Country: Thailand.
• State/Province: Chonburi.
• City: Laem Chabang.
• General Overview.
• Functional Area: Engineering.
• Career Stream: Equipment Engineering Manufacturing.
• SAP Short Name: MG1-ENG-EQM.
• IC/MGR: Manager.
• Direct/Indirect Indicator: Indirect.
• Summary.
• The Manager, Manufacturing Equipment Engineering is responsible for leading and managing the employees who develop and/or source manufacturing equipment to support manufacturing operations goals. Scope of the role for employees may include design and development of equipment, qualification, deployment to manufacturing, improving performance and supporting programs to optimize efficiencies while maintaining a safe working environment.
• Detailed Description.
• Initiate the development and implementation of off the shelf standard solutions and/or new standard automation solutions to support customer product road map using Celestica Automation E2E process and tools such as Business Case, Design for Automation Assembly (DFAA) and smart sheet Project Planning.
• Initiate the hardware and software improvements of automated lines and off the shelf equipment, via the analysis of Overall Equipment Efficiency (OEE) and other available data.
• Lead the collaboration and the communication with multiple internal and external stakeholders including solution providers for design approval.
• Point of escalation for complex technical problems.
• Be accountable for the installation, qualification, maintenance and operational performance of complex equipment within a value stream or overall responsibility for common equipment sets across the entire factory.
• Support capital planning processes with the leadership team, develop forecasts for equipment capacity and recommend CapEx plans to meet site targets.
• Set yearly plans and goals for the department and give direction on expected performance and provide regular performance evaluations and ongoing feedback. Accountable for all department objectives and achieving agreed targets for key performance indicators.
• Knowledge/Skills/Competencies.
• Refer to technical skills below.
• Physical Demands.
• Duties of this position are performed in a normal office environment.
• Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data.
• Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required.
• Occasional travel may be required.
• Typical Experience.
• 4 to 6 years in a similar role or industry.
• Typical Education.
• Bachelor degree or consideration of an equivalent combination of education and experience.
• Educational Requirements may vary by Geography.
• Notes.
• This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time.

Skills:

Electrical Engineering, Mechanical Engineering

Job type:

Full-time

• (for the Journals Sensors, Actuators, Electronics, Micromachines, Aerospace, Systems, etc.).
• To strengthen our editorial team, we are looking for recent graduates who are eager to stay connected to scientific research by helping researchers worldwide publish their latest results. The position of Assistant Editor is full-time, and this position is based in Bangkok, Thailand.
• Communicate with scholars and organize the peer-review process for submitted manuscr ...
• Make sure that accepted manuscripts fit our layout guidelines and can be published in a timely manner.
• Maintain good lines of communication with the Editor-in-Chief, Editorial Board, authors, and reviewers to ensure the journal's smooth operation.
• Pay attention to progress in your assigned research fields and assist the Managing Editor in meeting the journal's targets.
• Complete other assigned tasks.
• Master's or Ph.D. degree within the past five years.
• Majors in Mechanical Engineering, Electrical Engineering, or majors related to electronic science and technology, automation, control science, industrial engineering, optical science and engineering, optical information, optical instruments, optoelectronics, photonics, integrated circuits, detection technology, measurement technology, etc.
• TOEIC score 600+, IELTS 6.0+ or TOEFL iBT 60+.
• Advanced knowledge of Microsoft Word.
• Strong learning and communication ability.
• Flexible working hours.
• Laptop provided.
• 5 working days a week.
• Performance bonus.
• Annual bonus.
• Position allowance.
• Monthly allowance.
• Tutorship and tutor allowance.
• Travel abroad to other MDPI branch offices.
• Travel allowance.
• Group health insurance.
• Social security.
• Annual physical exam.
• New member physical exam.
• Paid annual leave.
• Team activity fund, snacks, and birthday activity fund.
• 26th & 27th floors, The Ninth Towers Grand Rama 9.
• As a successful candidate, you will receive full training in editorial work, work closely with Managing Editors, and learn how to process research articles from submission to publication. Training supervised by an assigned tutor will take place on the job during the first six months. Depending on your background, you will be assigned to work on journals related to your field of study or research. No previous editorial experience is required, however, a familiarity with the academic editorial process is an advantage. This is a great opportunity to start your first job in a dynamic multinational company that offers a range of career development options to talented, enthusiastic, and hard-working people.

Experience:

5 years required

Skills:

Industrial Engineering, Assembly, English

Job type:

Full-time

• We are looking for a.
• Lean Engineering Specialist.
• to drive factory performance and continuous improvement initiatives across operations. This role will act as a key bridge across regional manufacturing sites and support the development of lean capabilities.
• Plan, design, and optimize manufacturing processes to ensure efficient utilization of equipment and resources.
• Design layouts for assembly lines and material handling to improve productivity and flow.
• Analyze machinery and production systems to ensure optimal factory performance.
• Develop and implement operational sequencing and process specifications to enhance efficiency and quality.
• Support product line improvements and drive process modifications aligned with business needs.
• Lead and support factory improvement initiatives using lean methodologies.
• Deliver training and coaching to employees and management to build continuous improvement capabilities.
• Act as the key contact with regional manufacturing sites (Japan, China, Singapore, Malaysia, India, Thailand).
• Bachelor's degree in Industrial Engineering or related field.
• At least 5-8+ years of experience in Lean Engineering or continuous improvement in manufacturing.
• Strong background in factory improvement / operational excellence projects.
• Proven ability to train, coach, and influence stakeholders at all levels.
• Excellent communication skills with the ability to engage cross-functional teams.
• Advanced English communication skills (spoken and written).
• Ability to work independently and collaborate in a regional/global environment.
• Willingness to travel or work abroad occasionally.
• Carrier is An Equal.
• Opportunity/Affirmative.
• Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.
• Click on this.
• link.
• to read the Job Applicant's Privacy Notice.

Experience:

5 years required

Skills:

Project Management, English, Thai

Job type:

Full-time

• Engineer, Reservoir Engineering Support.
• plays a critical role in safeguarding and unlocking the full production potential of PTTEP's Thai onshore assets. The position delivers high.
• quality reservoir engineering insights to drive field development decisions, proactive reservoir management, and well operations excellence. The role is essential to optimizing production, safeguarding reserves integrity, and implementing value.
• adding solutions that help mitigate natural decline and support long.
• term production sustainability in mature fields.
• Key Accountabilities.
• Provide reservoir engineering input to field development plans, ensuring alignment with Asset Planning and cross-functional teams.
• Manage, update and maintain reserves and reservoir.
• related datasets with high accuracy, including reserves estimation, periodic reserves reporting (monthly/quarterly/annual), and resources maturation.
• Plan and monitor reservoir management activities, including production diagnostics, performance evaluation, and subsurface/well issue identification for mature oil and gas fields.
• Propose, coordinate, and monitor well and drilling operations and data acquisition programs (e.g., formation pressure test program, well intervention, workover, surveillance) to optimize production, extend well life, and enhance subsurface understanding.
• Plan, execute, and oversee reservoir engineering activities such as well testing, well performance evaluation, decline analysis, and development well proposals to support production enhancement.
• Apply knowledge of production optimization concepts to improve well performance, maximize recovery and support continuous improvements in field performance.
• Professional Knowledge & Experiences.
• Bachelor's or higher in Petroleum/Reservoir Engineering, or related discipline.
• 3+ years of experience in Petroleum Engineering, Reservoir Engineering, or related subsurface functions.
• Experience in work process optimization and digitalization, including improving subsurface workflows, integrating data-driven tools, and enhancing efficiency in reservoir engineering processes.
• Good in both written and spoken English.
• Good project management capability, including planning, prioritization, and cross functional coordination.
• Good computer literacy with broad understanding of engineering and analytical software/tools.

Experience:

8 years required

Skills:

Mechanical Engineering, Cloud Computing, Web Services, Automation

Job type:

Full-time

• Perform design and equipment submittal review for new Data Centers in your region.
• Troubleshoot, conduct Root Cause Analysis (RCA) and create Corrective Action (CA) documentation for site/equipment failures.
• Directly support operational issues with ad-hoc training, complex operating procedure reviews, including critical equipment, and event support.
• Own the design for existing data center upgrades and design-solutions, which add capacity, improve availability, and increase efficiency.
• Interface with internal data center design engineering team, server hardware team, environmental health and safety team to promote standards that maintain consistency and reliability in services delivered.
• Work on concurrent projects, sometimes in multiple geographical regions.
• Initiate and lead engineering audits including on-site visits within Amazon's owned or colo data centers. Produce reports outlining risks with recommended mitigations and remediation's.
• Act as resident engineer during new construction projects. Support construction, commissioning, and turnover.
• About AWS.
• Diverse Experiences.
• Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
• Why AWS.
• Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
• Work/Life Balance.
• We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
• Inclusive Team Culture.
• AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
• Mentorship and Career Growth.
• We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
• Bachelor's degree in mechanical engineering or demonstrable equivalent professional experience.
• Minimum 8 years of relevant experience working in mission-critical facilities such as data centers, power generation plants, OEM vendors (Original Equipment manufacturers) or oil/gas facilities.
• Knowledge of Mechanical systems and design principles for data centers, including: the candidate would have deep and detailed knowledge of the Equipment having worked in a related Company/handled specifically these systems (Eg Chillers, AHUs, Piping, Valves, Air quality, Fuel Systems, Automation (BMS) etc).
• Strong written and verbal communication abilities, meticulous attention to detail, and commitment to maintaining high-quality work standards.

Experience:

2 years required

Skills:

English

Job type:

Full-time

• Understanding the customers operation and be able to recommend the right product and service of Green Mobility Solution.
• Customer visits and close deals.
• Be able to recommend basic technical information of products in line.
• Provide consultation and basic technical support related to EV vehicles, EV loaders, EV forklifts, and other electric mobility equipment.
• Conduct site visits to understand usage conditions of engines and EV equipment, and recommend suitable solutions or preventive maintenance approaches.
• Coordinate with technical/service teams regarding engine systems, battery systems, and equipment performance to ensure customer satisfaction.
• Coordinate to related parties closely to exchange information about market and competitor movement also support Marketing team to create awareness and generates qualified leads.
• Build long-term relationships with customers and stakeholders.
• Bachelor's degree in Related Fields (Mechanical, Electrical, Automotive, or related field preferred) with GPAX > 2.70.
• Good command in English (TOEIC score at least 550).
• Basic knowledge of engines, electric vehicle (EV) systems, battery technology, or industrial equipment (e.g., EV loaders, EV forklifts) is an advantage.
• Ability to understand and interpret technical specifications related to engine performance and EV mobility systems.
• Good communicator that can explain technical and cost benefits in simple terms.
• Consultative mindset and analytical skill that be able to understand customers and recommend the right solutions.
• Customer-oriented mainly is to visit customers, listening, and solving problems with willingness to support.
• Well managed own schedule with discipline to visit sites, follow up, and manage various type of customers.

Experience:

2 years required

Skills:

Mechanical Engineering, Project Management, Safety Management, ISO 14001, English, Thai

Job type:

Full-time

• Involved in the implementation of HS&E policies, plans, and standards for all construction projects under the PMCM business line.
• Represent the Owner (Client) on HS&E matters at project sites, ensuring contractors comply with the approved Construction Safety Plan, Environmental Management Plan, and all legal requirements.
• Provide strategic guidance and technical advice to project teams on health, safety, and environmental issues.
• Conduct site HS&E audits, inspections, and risk assessments to verify compliance and identify areas for improvement.
• HS&E Management and Monitoring.
• Review contractors' HS&E plans, method statements, permits to work, and incident reports for adequacy and compliance.
• Monitor and report HS&E performance, including leading and lagging indicators, incidents, and near-miss statistics.
• Support incident investigation, root cause analysis, and ensure implementation of corrective and preventive actions.
• Liaise with clients, consultants, and contractors on HS&E coordination and compliance reporting.
• Training, Awareness, and Culture Building.
• Promote a proactive HS&E culture across project sites through engagement, communication, and awareness campaigns.
• Conduct HS&E inductions, toolbox talks, and refresher training for PMCM team members and provide an oversight of such activities by the contractors.
• Mentor and coach site engineers and project managers on HS&E best practices.
• Compliance and Reporting.
• Ensure compliance with Thai Occupational Safety, Health and Environment Act, Ministerial Regulations, and related codes.
• Coordinate with Department of Labour Protection and Welfare (DLPW) and other relevant government agencies for legal compliance and reporting requirements.
• Prepare and submit HS&E monthly reports to the Regional HS&E Director and Client as required.
• We know today's complex challenges can only be solved through bringing together diverse teams of people from across our business, so there will be opportunities for you to apply your skills and creativity to projects in other geographies and markets.
• What can you bring to the team?.
• Firstly, you will share our genuine passion for re-imaging engineering and be someone that actively pursues continuous learning to help shape the future. You will also need a relevant technical qualification and chartered status would be preferable.
• Bachelor's degree in Occupational Health & Safety, Environmental Science, Civil/Mechanical Engineering, or related field.
• Postgraduate or professional certification in HS&E management is an advantage.
• Minimum 4-7 years of experience in HS&E management for large-scale construction projects, preferably with international engineering consultants, project management firms, or multinational contractors.
• Proven experience working in Owner's Representative or Construction Management role for industrial, commercial, or infrastructure projects.
• Strong knowledge of Thai HS&E laws, international safety standards (ISO 45001, ISO 14001), and construction safety management.
• Experience in incident investigation, risk assessment, and HS&E audits.
• Strong leadership and communication skills, able to influence and engage contractors and project stakeholders.
• Analytical and problem-solving abilities with attention to detail.
• Excellent report writing skills in English and Thai.
• High integrity and commitment to safety excellence.
• Safety Officer in Professional Level" (จป.วิชาชีพ), registered and licensed by DLPW, or.
• Equivalent professional certification recognized by the Ministry of Labour for health and safety supervision in construction projects.
• Valid training certificates in construction safety and emergency response.
• Familiarity with Contractor Safety Management System (CSMS) and client HSSE standards (for example, ISO, OHSAS, or corporate HSSE systems).
• Our Aurecon Attributes describe the types of people we bring together for clients. We don't expect you to have all eight of the attributes, but one that is unique to you.
• Finally, we value that each of our team members brings something different to Aurecon. We look for people who have had a broad range of experiences throughout their career and can demonstrate how they have worked as part of a team to bring ideas to life. Does that sound like you?.
• About us.
• We've re-imagined engineering.
• Aurecon is an engineering and infrastructure advisory company, but not as you know it!.
• For a start, our clients' ideas drive what we do. Drawing on our deep pool of expertise, we co-create innovative solutions with our clients to some of the world's most complex challenges. And through a range of unique creative processes and skills, we work to re-imagine, shape and design a better future.
• We listen deeply and intently, which helps us see opportunities, possibilities and potential that others can't.
• Think engineering. Think again.
• Want to know more?.
• You can learn more about what it's like to work at Aurecon by visiting the careers section of our website.
• If you are intrigued or excited by what you have read, then we want to hear from you. Apply now!.

Skills:

English

Job type:

Internship

Support package subject to program terms and eligibility.

Experience:

3 years required

Skills:

Software Development, Automation, Kubernetes, TypeScript, node.js, Python, SQL

Job type:

Full-time

• We are building AI powered systems that support multi marketplace operations, warehouse operations, financial workflows, and internal developer productivity across Southeast Asia. We're looking for an AI Developer who can build real AI features and contribute to our broader AI strategy helping shape how our teams adopt, scale, and govern AI across the company.
• This role is perfect for someone who enjoys hands-on engineering but also wants to influence how AI is used at an organizational level. aCommerce is a learning organiza ...
• Build and integrate AI features into internal tools, microservices, and automation workflows.
• Develop LLM powered assistants, RAG systems, and knowledge tools using models like Claude, GPT, and Gemini.
• Create APIs, pipelines, and services that make AI reliable, scalable, and safe.
• Improve developer productivity through AI augmented coding, testing, and documentation tools.
• Contribute to the company's AI roadmap and help identify high impact AI opportunities.
• Evaluate new AI tools, models, and platforms and recommend what we should adopt.
• Help define best practices for prompt engineering, model usage, and safe deployment.
• Support teams in adopting AI responsibly, including training, documentation, and internal guidelines.
• Work with architects to ensure AI systems follow governance, auditability, and data handling standards.
• Partner with product, engineering, and operations teams to translate business needs into AI solutions.
• Lead design discussions for new AI powered features and internal platforms.
• Help build a culture of experimentation and continuous improvement around AI.
• Capabilities.
• At least 5 years of software engineering experience.
• Proven experience working on agentic applications with the ability to articulate the tradeoffs between different approaches.
• Strong skills in Python, Node.js/TypeScript, or Go. Good awareness of SQL.
• Hands-on experience with LLM APIs and context engineering.
• Familiarity leveraging vector databases, RAG pipelines and memory systems.
• Experience building APIs, microservices, or event driven systems.
• Experience with enterprise SDLC tooling including version control, CI/CD systems, testing methodologies as they pertain to generative and agentic applications.
• Interest in AI strategy, evaluation, and responsible AI practices.
• Curiosity, problem solving mindset, and willingness to explore new tools.
• Experience with delivering applications to Kubernetes runtime environments a plus.
• Experience using workflow engines, automation, or internal developer platforms.