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Skills:

English

Job type:

Internship

Support package subject to program terms and eligibility.

Experience:

1 year required

Skills:

Electronics, Quality Management System, Instrument, Thai

Job type:

Full-time

• โทร: 056-705-953-7 หรือ 089-895-0667.
• อีเมล: [email protected].
• Line ID: 0898950667.

Experience:

5 years required

Skills:

AutoCAD, English

Job type:

Full-time

• Bachelor s degree or higher in Engineering related field
• Experience in Production Engineer / Process Engineer or related experience
• Expertise in valve technology or manufacturing industrial
• Proficient in using SolidWorks and AutoCAD programs
• Expert in preparing and improving PFMEA and Control Plan
• Machining/Turning
• Casting
• Spraying
• Painting
• Vulcanization
• Assembly
• Possess a good attitude, enthusiasm, responsibility, dedication, and a willingness to learn; able to work well under pressure
• Knowledge of safety regulations, environmental compliance, and quality systems (ISO standards)
• Excellent leadership and team management capabilities
• Strong problem-solving and analytical thinking skills
• Effective communication and interpersonal skills
• Ability to work collaboratively across multiple departments
• Expertise in project management and budget management
• Fluency in English (business - conversation)
• Chinese language is preferred (special consideration).
• Benefit.
• Social Security
• KPI performance bonus
• Meal allowance
• Accommodation allowance
• Transportation allowance
• allowance ต่างๆขึ้นอยู่กับประสบการณ์และความสามารถ**.
• Working Hour.
• 08:00 - 17:00.
• Holiday.
• Sat-Sun
• (Public Holidays).

Experience:

No experience required

Skills:

English, Thai

Job type:

Internship

• Kick off the morning with the team to brainstorm creative ideas for content..
• Dive into campaign execution: from designing ad creatives to monitoring performance on Google Ads and Facebook..
• Collaborate with our SEO team to ensure every piece of content ranks and performs..
• Wrap up the day by sharing your fresh insights and opinions (yes, we want to hear them)..
• What We re Looking For.
• A creative and proactive mindset..
• Someone confident in sharing opinions and ideas..
• Bonus points if you ve already explored or certified in Facebook Ads or Google Ads..
• Why Join Us?.
• Get real digital marketing experience working with some of the biggest brands in Thailand..
• Learn fast in a supportive team that values creativity and initiative..
• Build skills that will set you apart in today s competitive digital industry..

Experience:

No experience required

Skills:

Thai, English

Job type:

Internship

• Brainstorm and plan content ideas for Facebook, Instagram, TikTok, LinkedIn.
• Support photo/video shoots including behind-the-scenes coordination and setup.
• Create visuals and draft captions that fit campaign objectives and brand identity.
• Assist in producing short-form videos using tools like CapCut or Premiere.
• Learn to use AI-driven tools for both creative visuals and written content.
• Help with campaign reporting by collecting performance insights.
• Basic skills in Canva, CapCut, or Adobe Creative Suite.
• Strong communication and organizational skills.
• Able to work independently while collaborating in a small team.
• Interest in social media trends, branding, and storytelling.
• Why Join Us?.
• Work with top employers and leading brands in Thailand.
• Gain real-world experience in both content creation and campaign execution.
• Learn how to push creative boundaries with new tools and strategies.
• Be mentored by a passionate team that values quality, data-driven insights, and impactful storytelling..
• Why Join Us?.
• At WorkVenture, you ll be part of a team that s shaping how companies are seen as great places to work. This role gives you the chance to push creative boundaries and grow with a team that values quality and impactful storytelling.

Experience:

No experience required

Skills:

English, Thai

Job type:

Internship

• WorkVenture is a leading career marketplace dedicated to connecting people in Thailand with jobs and companies they love. By offering real company reviews and matching job opportunities to candidates' backgrounds, we help individuals find fulfilling careers. We also provide top-notch Employer Branding solutions and HR consultancy.
• About the Role
• As a Content Creator Intern, you will collaborate with our Marketing Team, Video Editor, and Influencers to develop engaging content and campaigns. This role is ideal f ...
• Collaborate with the Marketing Team, Video Editor, and Influencers to create compelling content and campaigns that align with our brand and service strategies.
• Present your ideas to decision-makers, using data-driven reasoning to gain their buy-in.
• Stay updated on the latest tools, frameworks, and consumer insights to enhance your team's effectiveness.
• Continuously evaluate your work to identify areas for improvement and increase efficiency.
• University graduate or in the final year of studies.
• Good command of English, both spoken and written.
• Video editing skills are a plus but not required.
• Why join us?
• Join WorkVenture to experience the dynamic environment of a fast-growing tech company while making a real difference. Help millions of candidates find jobs and companies they love, and grow your career with us!.

Experience:

No experience required

Skills:

Content Creator, Video Editing, Social Media Management, Good Communication Skills, Teamwork

Job type:

Internship

• เป็นนักศึกษาที่กำลังศึกษาอยู่ชั้นปีที่ 3 หรือ 4 คณะนิเทศศาสตร์, ศิลปกรรมศาสตร์, บริหารทรัพยากรมนุษย์ (HR) หรือสาขาที่เกี่ยวข้อง.
• มีความสามารถในการถ่ายภาพ ถ่ายทำและตัดต่อวิดีโอ รวมถึงการจัดทำซับไตเติลที่ถูกต้องและน่าติดตาม.
• เป็นผู้ใช้แพลตฟอร์ม TikTok ที่มีความเข้าใจในธรรมชาติและกระแสความนิยมของแพลตฟอร์ม TikTok เป็นอย่างดี.
• มีความกระตือรือร้นที่จะเรียนรู้การทำคอนเทนต์สาย HR และอยากลองเรียนรู้การทำงานในบริษัทญี่ปุ่น.
• ช่องทางการสมัคร
• ผู้ที่สนใจสามารถส่ง Resume โดยระบุช่วงเวลาที่สะดวกฝึกงาน พร้อมแนบ Portfolio หรือลิงก์ช่อง TikTok ส่วนตัวของน้องๆที่แสดงถึงทักษะและความเป็นตัวเองมาเพื่อประกอบการพิจารณา.

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:

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:

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:

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.