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āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ60,000 - āļŋ90,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- We are inviting applications for the position of Senior R&D Engineer / Scientist in our Resin for Paint and coating division. The ideal candidate will be responsible for leading the development and improvement of coating and resin systems with a focus on quality, innovation, sustainability, and regulatory compliance. This is a leadership role requiring a deep understanding of polymer science, surface chemistry, and coating applications across various industries.
- Lead and execute complex R&D projects from concept to commercialization.
- Lead formulation and development of advanced paints, resins, and coatings, including water-based, solvent-based, and hybrid systems as well as the low VOC products.
- Innovate and optimize product formulations for enhanced performance, cost-effectiveness, and environmental compliance (e.g., low-VOC, eco-friendly technologies, Green Label, LEED).
- Ensure compliance with company policies, safety standards, and regulatory requirements.
- Plan and execute laboratory experiments, analyze results, and provide actionable insights or prototypes to validate new technologies.
- Evaluate new raw materials, resins, pigments, additives, and suppliers.
- Collaborate with cross-functional teams (production, QC, sales, marketing, and procurement) to support scale-up, troubleshooting, and commercialization.
- Ensure adherence to applicable industry standards and regulatory guidelines (e.g., VOC regulations, LEED, Green Label, ISO etc.).
- Generate and maintain all relevant technical documentation, test reports, and formulation records.
- Provide technical support to customers and internal stakeholders, including training and troubleshooting.
- Mentor junior R&D staff and interns and contribute to knowledge-sharing within the team to enhance their technical knowledge and skill.
- Monitor emerging trends and technologies in coatings and resin systems to support long-term R&D strategy and business strategy.
- Manage timelines, budgets, and resource allocation for assigned projects..
- M.Sc./M.Tech/Ph.D. in Polymer Science, Chemical Engineering, Surface Coating Technology, Organic Chemistry, or a related discipline.
- Minimum 20 years of R&D experience in the paint, coatings, or resin manufacturing industry, preferably in a senior or leadership capacity.
- Strong expertise in formulation chemistry of various coatings: architectural, industrial, automotive, protective, etc.
- Hands-on experience with analytical and performance testing equipment (e.g., viscometer, spectrophotometer, gloss meter, FTIR, DSC, TGA).
- Knowledge of resin synthesis and polymerization techniques is a plus.
- Excellent problem-solving, project management, and analytical skills.
- Strong communication (verbal and written) for internal reporting and external collaboration.
- Leadership skills with the ability to mentor and develop junior staff.
- Experience in low-VOC, water-based systems, or bio-based coatings.
- Exposure to patent filing, technical papers, or international formulation standards.
- Familiarity with SAP, LIMS, or digital R&D systems.
- This position is based at TOA Paint (Thailand) Public Company Limited, Head Office. Working hours: 5.5 days / Monday to Friday, with every other Saturday and Sunday off.
- Interested applicants are requested to send their English resume to.
- [email protected], [email protected], [email protected].
āļāļąāļāļĐāļ°:
Digital Marketing, Big Data, Statistics
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Drive clear and effective business translation of AI/ML products between business and technical stakeholders.
- Design, develop and leverage Advanced analytics, Artificial Intelligence (AI) and Machine Learning (ML) models to support digital marketing, MarTech, AdTech, and hyper-personalization initiatives.
- Analyze Big Data to develop effective predictive and recommendation models.
- Collaborate closely with Product Owners, IT teams, and Data teams to implement AI solutions that improve marketing campaign performance.
- Continuously refine and enhance AI models through testing and performance evaluation.
- Participate in the vendor selection processes to identify and ensure the best external partners for data science and AI/MLprojects..
- Bachelor s Degree or higher in Computer Science, Computer Engineering, Data Science, Statistics, or any related field.
- Minimum of 2 years in AI/ML engineer, cloud solution or a related field.
- Proficiency in some of the following: Python, PySpark and SQL etc.
- Experience or strong interest in digital marketing, MarTech, and AdTech, especially data-driven marketing strategies is a plus.
- Experience in building tools / models to support retention, up-cross selling, optimization, mobile app data and digital marketing is a plus.
- Ability to communicate and collaborate with cross-functional teams.
- Growth mindset and openness to continuously learning and facing new projects and new technologies..
- You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
- The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.".
āļāļąāļāļĐāļ°:
Compliance, Automation, iOS
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Develop and maintain comprehensive test strategies, plans, and cases.
- Conduct end-to-end testing across web, mobile, backend APIs, and databases.
- Ensure compliance with business and functional requirements.
- Define and implement an automation strategy for user services testing, transitioning from manual to automated tests.
- Develop, maintain, and execute automated test scripts for web, mobile, and API testing.
- Ensure CI/CD integration of automated tests.
- Work closely with developers to apply the right test levels.
- Apply shift-left testing to all stakeholders to ensure quality across the responsible areas.
- Define QA best practices and mentor team members on automation and technical testing.
- Act as a point of contact for quality-related discussions within the domain.
- 5+ years of experience in software testing, with at least 2+ years in a QA lead role.
- Hands-on experience with testing web and mobile applications (both iOS and Android).
- Strong knowledge of API testing.
- Experience with database validation.
- Proven success in test automation.
- Deep understanding of software development methodologies.
- Strong analytical and problem-solving skills with a proactive mindset.
- Excellent communication skills with the ability to work cross-functionally with stakeholders..
- Hands-on experience with CI/CD pipelines for automated test execution.
- Using Playwright (TypeScript) for web, Appium for mobile, and scripting automated API tests.
- Prior experience transitioning a team from manual to automated testing.
- CP AXTRA | Lotus's
- CP AXTRA Public Company Limited.
- Nawamin Office: Buengkum, Bangkok 10230, Thailand.
- By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .
āļāļąāļāļĐāļ°:
Microsoft Office
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āđāļŦāđāļāļģāđāļāļ°āļāļģāđāļāļĩāđāļĒāļ§āļāļąāļāļāļ§āļēāļĄāļāļĨāļāļāļ āļąāļĒāļāļēāļāļĩāļ§āļ°āļāļāļēāļĄāļąāļĒāđāļĨāļ°āļŠāļ āļēāļāđāļ§āļāļĨāđāļāļĄāđāļāļāļēāļĢāļāļģāļāļēāļāđāļŦāđāđāļāđāļāđāļāļāļēāļĄāļāļāļŦāļĄāļēāļĒāļāļĩāđāļāļģāļŦāļāļ.
- āļāļąāļāļāļģāļāļ°āđāļāļĩāļĒāļāļāļāļŦāļĄāļēāļĒāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļĢāļ°āđāļĄāļīāļāļāļ§āļēāļĄāļŠāļāļāļāļĨāđāļāļāļāđāļāļāļģāļŦāļāļāļāļāļāļāļāļŦāļĄāļēāļĒāđāļĨāļ°āļāđāļāļāļģāļŦāļāļāļāļ·āđāļāđ.
- āļāļģāļāļąāļāđāļĨāļ°āļāļĢāļ§āļāļŠāļāļāļāļļāļāļāļĨāļēāļāļĢāđāļŦāđāļāļāļīāļāļąāļāļīāļāļēāļĄāļāđāļĒāļāļēāļĒāļāļ§āļēāļĄāļāļĨāļāļāļ āļąāļĒāļāļāļāļāļĢāļīāļĐāļąāļāļĢāļ§āļĄāļāļķāļāļāļāļŦāļĄāļēāļĒāļŦāļĢāļ·āļāļĄāļēāļāļĢāļāļēāļāļāđāļēāļāļāļ§āļēāļĄāļāļĨāļāļāļ āļąāļĒāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļāļģāļāļąāļāļāļđāđāļĨāļāļķāļāļāļāļĢāļĄāļāļąāļāļāļēāļāļļāļāļāļĨāļēāļāļĢāđāļāļŠāđāļ§āļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāđāļŦāđāļĄāļĩāļāļ§āļēāļĄāļāļĢāļ°āļŦāļāļąāļāđāļĨāļ°āļāļ§āļēāļĄāļĢāļđāđāļāļķāļāļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļāļāļĒāđāļēāļāļāļĨāļāļāļ āļąāļĒāđāļāļ·āđāļāļāđāļāļāļāļąāļāļāļļāļāļąāļāļīāđāļŦāļāļļāđāļāļāļēāļĢāļāļģāļāļēāļ.
- āļāļąāļāļāļēāļāļĩāļĄāļāļēāļāđāļŦāđāļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāļ§āļēāļĄāļāļģāļāļēāļāļĒāļīāđāļāļāļķāđāļāđāļāļ·āđāļāļāļēāļĢāļāļģāļāļēāļāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ.
- āļāļēāļāļāļ·āđāļāđāļāļēāļĄāļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒ.
- āļ§āļļāļāļīāļāļĢāļ°āļāļēāļĻāļāļĩāļĒāļāļąāļāļĢāļ§āļīāļāļēāļāļĩāļāļāļąāđāļāļŠāļđāļ āđāļāļāļāļīāļāļāļļāļāļŠāļēāļŦāļāļĢāļĢāļĄ, āļ§āļļāļāļīāļāļĢāļīāļāļāļēāļāļĢāļĩāļŦāļĢāļ·āļāļŠāļđāļāļāļ§āđāļēāļŠāļēāļāļēāļ§āļīāļĻāļ§āļāļĢāļĢāļĄāļāļ§āļēāļĄāļāļĨāļāļāļ āļąāļĒ
- āļŠāļēāļāļēāļāļēāļāļĩāļ§āļāļāļēāļĄāļąāļĒāđāļĨāļ°āļāļ§āļēāļĄāļāļĨāļāļāļ āļąāļĒ.
- āļĄāļĩāđāļāļāļāļļāļāļēāļāļŦāļĨāļąāļāļŠāļđāļāļĢāļāļ§āļēāļĄāļāļĨāļāļāļ āļąāļĒāļāļēāļĄāļāļĩāđāļāļāļŦāļĄāļēāļĒāļāļģāļŦāļāļ (āļāļģāđāļāđāļ).
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāļ·āđāļāļāļēāļāļāļēāļāļāđāļēāļāļāļēāļāļāđāļēāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļąāļāļāļēāļĢāļāļĩāļĄāļāļēāļāđāļĨāļ°āļāļēāļĢāļāļīāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļāļīāļāļŠāļĢāđāļēāļāļŠāļĢāļĢāļāđ.
- āļĄāļĩāļĄāļāļļāļĐāļĒāļŠāļąāļĄāļāļąāļāļāđāđāļĨāļ°āļāļąāļāļĐāļ°āđāļāļāļēāļĢāļāļīāļāļāđāļāļŠāļ·āđāļāļŠāļēāļĢāļāļĩāđāļāļĩ.
- āļĄāļĩāđāļāļĢāļąāļāļāļēāļāļāđāļēāļāļāļēāļĢāđāļŦāđāļāļĢāļīāļāļēāļĢāđāļĨāļ°āļĄāļĩāļāļ§āļēāļĄāļŠāļļāļāļļāļĄāļĢāļāļāļāļāļāļĨāļ°āđāļāļĩāļĒāļāļāļĩāđāļāđāļ§āļāđāļāļāļēāļĢāļāļģāļāļēāļ.
- āļŠāļēāļĄāļēāļĢāļāđāļāđāđāļāļĢāđāļāļĢāļĄāļŠāļģāđāļĢāđāļāļĢāļđāļMicrosoft Office.
- āļŠāļēāļĄāļēāļĢāļāļŠāļ·āđāļāļŠāļēāļĢāļ āļēāļĐāļēāļāļąāļāļāļĪāļĐāđāļāđāļāļĩ.
- āļāļģāļāļēāļ 6 āļ§āļąāļāļāđāļāļŠāļąāļāļāļēāļŦāđ.
āļāļąāļāļĐāļ°:
Power BI, Tableau, Statistics
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Identify valuable data sources and automate data collection processes.
- Undertake preprocessing and transformation of structured and unstructured data.
- Analyze large datasets to discover meaningful trends, patterns, and business insights.
- Build and deploy predictive models, machine learning algorithms, and NLP models (classification, clustering, topic modeling, sentiment analysis).
- Combine models through ensemble techniques to improve accuracy.
- Design and maintain end-to-end data pipelines and migrate workflows to cloud platforms (e.g., Databricks, BigQuery, PySpark).
- Develop and maintain dashboards (Power BI, Looker, Tableau) to communicate insights effectively.
- Collaborate with cross-functional teams including product, engineering, and business stakeholders to align data solutions with business needs.
- Propose solutions and strategies to address complex business challenges.
- QualificationsBachelor s or Master's degree in Data Science, Statistics, or related field.
- Proven experience as a Data Scientist or Data Analyst, with demonstrated success in building and deploying data-driven solutions.
- Strong proficiency in Python, SQL, PySpark; experience with big data platforms (Databricks, BigQuery, Redshift, Hadoop).
- Solid understanding of machine learning and deep learning frameworks.
- Experience in data mining, feature engineering, and statistical modeling.
- Strong math and statistical skills; analytical mindset with problem-solving aptitude.
- Excellent communication and presentation skills to engage with both technical and non-technical stakeholders.
- (Preferred) Experience with stream processing, NLP, and scalable big data stores.
- Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
- EN: (https://krungsri.com/b/privacynoticeen).
- āļāļđāđāļŠāļĄāļąāļāļĢāļŠāļēāļĄāļēāļĢāļāļāđāļēāļāļāļĢāļ°āļāļēāļĻāļāļēāļĢāļāļļāđāļĄāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļŠāđāļ§āļāļāļēāļāļāļĢāļąāļāļĒāļēāļāļĢāļāļļāļāļāļĨāļāļāļāļāļāļēāļāļēāļĢāđāļāđāđāļāļĒāļāļēāļĢāļāļīāļĄāļāđāļĨāļīāļāļāđāļāļēāļāļĢāļđāļāļ āļēāļāļāļĩāđāļāļĢāļēāļāļāļāđāļēāļāļĨāđāļēāļ.
- āļ āļēāļĐāļēāđāļāļĒ: (https://krungsri.com/b/privacynoticeth).
- āļŦāļĄāļēāļĒāđāļŦāļāļļ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļĨāļ°āļāļ°āļĄāļĩāļāļąāđāļāļāļāļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāļđāđāļŠāļĄāļąāļāļĢ āļāđāļāļāļāļĩāđāļāļđāđāļŠāļĄāļąāļāļĢāļāļ°āđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāđāļāđāļēāļĢāđāļ§āļĄāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāļĻāļĢāļĩāļŊ.
- Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank..
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļāļĩāļĄāļāļēāļāļāđāļēāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāđ āđāļāđāđāļāđ āļāļĩāļĄ Op.Risk, Compliance, Internal Audit āđāļĨāļ°āļāļĩāļĄ Fraud āđāļāļāļĢāļ°āđāļāđāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļąāļāļāļĩāļĄāļāļēāļĒ āļāļąāļāļāļēāļāļĢāļ°āļāļ§āļāļāļēāļĢāđāļĨāļ°āļāļąāđāļāļāļāļāļāļēāļĢāļāļģāļāļēāļāđāļŦāđāļŠāļāļāļāļĨāđāļāļāļāļąāļāđāļāļ§āļāļēāļāļāļāļāļāļĩāļĄāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāđāļŦāļĨāđāļēāļāļąāđāļ
- āļāļģāđāļāļīāļāļāļēāļĢāļŠāļļāđāļĄāļāļĢāļ§āļāļŠāļāļāļŠāļąāļāļāļēāđāļĨāļ°āđāļāļŠāļĄāļąāļāļĢāļāđāļēāļāļāđāļāļāļāļēāļāļāđāļēāļāđ āđāļāļ·āđāļāđāļŦāđāļĄāļąāđāļāđāļāļ§āđāļēāļāļāļąāļāļāļēāļāļāļāļīāļāļąāļāļīāļāļēāļāļāļđāļāļāđāļāļāļāļēāļĄāļāđāļĒāļāļēāļĒ āđāļŦāđāļāļģāđāļāļ°āļāļģāđāļĨāļ°āļāļģāļāļĢāļķāļāļĐāļēāđāļĢāļ·āđāļāļāļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļģāļāļēāļāđāļĨāļ°āļāļēāļĢāļāļ§āļāļāļļāļĄāļ āļēāļĒāđāļāđāļāļ·āđāļāļāđāļāļāļāļąāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļ
- āļŠāļ·āđāļāļŠāļēāļĢāđāļĨāļ°āļāļāļĢāļĄāļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļāļāļēāļĄāđāļāļ§āļāļēāļ Market Conduct āļāđāļēāļāļāļĨāļīāļāļ āļąāļāļāđāļŠāļīāļāđāļāļ·āđāļāđāļĨāļ°āļāļĢāļ°āļāļąāļ āđ ...
- āļĢāļēāļĒāļāļēāļāļāļĨāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāđāļŦāđ Head of Sales āđāļĨāļ°āļāļīāļāļāļēāļĄāļāļēāļĢāđāļāđāđāļāđāļāļāļĢāļāļĩāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāļīāļāļāļāļāļī āļāļđāđāļĨāļāļ§āļēāļĄāđāļāđāļāļĢāļ°āđāļāļĩāļĒāļāļāļāļāļŠāļēāļāļēāđāļāđāļĢāļ·āđāļāļāļāļēāļĢāļŠāļ·āđāļāļŠāļēāļĢāđāļāļ§āļāļēāļāļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļāļāļēāļāļŠāđāļ§āļāļāļĨāļēāļāđāļŦāđāđāļāđāļāļĄāļēāļāļĢāļāļēāļāđāļāļĩāļĒāļ§āļāļąāļāļāļąāđāļ§āļāļĢāļ°āđāļāļĻ.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Prepare detailed analysis of manufacturing & operations processes, including site visit, client interviews, current flow validation and development of automated flow charts detailing process steps, hand offs and decision points.
- Identify manufacturing & operations cases for improvement and value proposition related to the cases for clients.
- Develop control strategies and PLC programs following clients needs.
- Recommend and apply automation and automated system implementation to improve production efficiencies, reduce costs, enhance employee safety, and to assure consistent product quality.
- Provide technical on-site solution support to clients, answering complex questions on function and usage of product.
- Serve as primary support liaison between company and clients, conveying client feedback to solution development.
- Maintain a high level of enterprise competence, coordinate development and assignments, including identifying, capturing and sharing manufacturing & operations expertise.
- Map the board room to shop floor approach and processes of clients.
- Lead engineering and manufacturing workstream by delivering accountable tasks on time, within budget and in line with client expectations.
- Engage specialists in ecosystem as needed to ensure the success of sales opportunity and project delivery.
- Support practice development activities.
- Support sales activities and bids
- Bachelor s Degree in a related engineering discipline; electrical, mechatronics, mechanical, industrial or production engineering.
- Minimum 7 years relevant Instrumentation, Control & Automation design experience, preferably with consultancy experience.
- Good understanding of the Industry 4.0 transformation & Digital Transformation of manufacturing and operations.
- Strong industry knowledge in either continuous or discrete manufacturing.
- Experience in analog and digital design, including system integration conceptual knowledge.
- Experience in creating process for workload automation, mainframe reports and reconciliation, including troubleshooting and analyzing workload automation processes.
- Experience in IoT Manufacturing, Manufacturing Excellence, Manufacturing Execution System and Digital Workforce.
- Experience in Design Thinking and Agile approaches with ability to ensure the project success on time and within budget.
- Ability to work with shop floor people at client sites.
- Strong business acumen with the ability to understand business issues and identify business opportunities and value propositions.
- Strong skills in developing and presenting clear and concise solution briefings.
- Exceptionally strong verbal and written communication skills with both Thai and English required.
- Good interpersonal and organizational skills.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Prepare detailed analysis of manufacturing & operations processes, including site visit, client interviews, current flow validation and development of automated flow charts detailing process steps, hand offs and decision points.
- Develop MES/MOM strategies following clients needs.
- Design and support the implementation & deployment of MES/MOM and automation solutions for manufacturing clients across industries.
- Lead requirements gathering, system design, configuration, testing and commissioning of MES/MOM systems (e.g., Siemens Opcenter, Rockwell FactoryTalk, SAP DM or DELMIA Apriso).
- Provide technical on-site solution support to clients, answering complex questions on function and usage of product.
- Serve as primary support liaison between company and clients, conveying client feedback to solution development, including the integration between MES/MOM and ERP, SCADA, PLCs and other shop-floor systems.
- Provide support in defining system architecture, data flow and automation logic between IT and OT layers.
- Maintain a high level of enterprise competence, coordinate development and assignments, including identifying, capturing and sharing MES/MOM expertise.
- Contribute to MES/MOM documentation, training materials and user acceptance testing.
- Stay updated on emerging technologies in MES/MOM, smart manufacturing, edge computing and AI in operations.
- Support practice development activities.
- Support sales activities and bids
- Bachelor s Degree in a related engineering discipline; electrical, mechatronics, mechanical, industrial or production engineering.
- Minimum 7 years relevant MES/MOM design & implementation, preferably with consultancy and hands-on experience (e.g., Siemens Opcenter, DELMIA Apriso, etc.).
- Good understanding of automation, SCADA and PLC systems.
- Strong industry knowledge in either continuous or discrete manufacturing.
- Experience in the system integration between MES-ERP-OT systems, preferably together with APS and WMS (e.g., OPC, MQTT, API or middleware).
- Experience in creating process for workload automation, mainframe reports and reconciliation, including troubleshooting and analyzing workload automation processes.
- Experience in IoT Manufacturing, Manufacturing Excellence and Digital Workforce.
- Familiarity with digital twin, predictive maintenance or data analytics for manufacturing.
- Exposure to robotics integration or industrial automation networks (Profinet, Modbus, etc.).
- Knowledge of Lean / Six Sigma principles or shop-floor optimization methodologies.
- Experience in Design Thinking and Agile approaches with ability to ensure the project success on time and within budget.
- Ability to work with shop floor people at client sites.
- Strong skills in developing and presenting clear and concise solution briefings.
- Exceptionally strong verbal and written communication skills with both Thai and English required.
- Good interpersonal and organizational skills.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Prepare detailed analysis of engineering and manufacturing processes and data, including site visit, client interviews, current flow validation and development of solution architectures detailing process steps, hand offs and decision points.
- Identify engineering and manufacturing cases for improvement and value proposition related to the cases for clients.
- Analyze value business cases for engineering and manufacturing clients.
- Gather, validate and document engineering and manufacturing requirements.
- Define future state scenarios and draw user journeys.
- Provide on site solution support to clients, answering complex questions on function and usage of product.
- Serve as primary support liaison between company and clients, conveying client feedback to solution development.
- Assist in data collection, system configuration, and troubleshooting for engineering and manufacturing projects.
- Prepare functional & technical documents, reports and diagrams to support project execution and client deliverables.
- Map the board room to shop floor approach and processes of clients.
- Engage specialists in ecosystem as needed to ensure the success of sales opportunity and project delivery.
- Continuously develop technical and consulting skills through hands-on project experience and structured training.
- Support practice development and sales activities.
- Bachelor s Degree in a related engineering discipline industrial, production, mechanical, electrical, mechatronics or chemical engineering.
- Good understanding of the Industry 4.0 transformation of engineering and manufacturing.
- Good understanding of Smart Factory and Digital Engineering contexts.
- Familiarity with IoT, digital twin and data analytics for engineering and manufacturing.
- Familiarity with business value case analysis for engineering and manufacturing.
- Experience in Design Thinking and Agile approaches with ability to ensure the project success on time and within budget.
- Ability to work with shop floor people at client sites.
- Strong skills in developing and presenting clear and concise solution briefings.
- Exceptionally strong verbal and written communication skills with both Thai and English required.
- Good interpersonal and organizational skills.
āļāļąāļāļĐāļ°:
Statistics, Python, SQL
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Lead the end-to-end development of analytics and AI projects that strengthen business and customer intelligence across the Siam Piwat data ecosystem.
- Translate business challenges into data science solutions that deliver measurable outcomes and strategic value.
- Collaborate with MIS, Data Engineering, Data Analytics and Business teams to ensure reliable data flow, technical integration, and sustainable implementation.
- Drive analytics initiatives that inform sales strategies, tenant insights, and evolving market opportunities.
- Technical Execution & Supervision.
- Develop and deploy predictive models and analytics frameworks to understand performance patterns, identify growth drivers, and support decision-making.
- Provide technical direction and support to data scientists and analysts to maintain consistency, accuracy, and quality of analytical outputs.
- Apply best practices in data preparation, model governance, and MLOps to ensure scalability and reliability.
- Work closely with cross-functional partners internally and externally to transform analytical insights into actionable business recommendations.
- Business Impact & Innovation.
- Deliver insights that enhance understanding of customer behavior, tenant performance, and overall sales and customer trends.
- Monitor and assess emerging market and consumer trends to guide future business strategies.
- Present complex findings through clear visualizations and storytelling tailored for executive and business audiences.
- Foster a culture of innovation and continuous improvement in analytics practice.
- Education & Experience.
- Master s or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative discipline.
- Minimum 5-7 years of experience in data science, advanced analytics, or AI solution delivery..
- Demonstrated success in developing and implementing data-driven solutions with measurable business impact.
- Experience in retail, customer analytics, or digital transformation environments is preferred..
- Technical Skills.
- Proficiency in Python, SQL, and PySpark for data analysis and model development..
- Solid understanding of machine learning, AI, and statistical modeling frameworks..
- Familiarity with cloud data platforms (DWS, AWS, GCP, or Azure) and version control tools (Git)..
- Experience with visualization and BI tools such as Power BI, Tableau, Apache Superset, or similar..
āļāļąāļāļĐāļ°:
Sales, Negotiation, Software Development, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Provide technical consultancy and design solutions for Enterprise Customers, primarily focusing on Enterprise Data Service products.
- Support the Sales team with technical opportunities, prepare technical proposals, and respond to customer requirements.
- Take ownership of customer solutions and architecture design, including solution costing.
- Collaborate with vendors, providers, and partners to optimize project investment costs for enhanced competitiveness.
- Coordinate and hand over customer solutions to the delivery and operation teams.
- Coordinate with vendors and partners to explore new potential technologies.
- Share technical and service knowledge with internal stakeholders.
- Bachelor of Engineering (Computer, IT, Telecommunication) or Computer Science.
- 5-8 years of experience in IT, Telecommunication, Data Communication Service, Pre-Sales, Post-Sales, or IP Network Operations & Planning.
- At least 5 years of professional experience as a Pre-Sales Engineer in a technical environment.
- Excellent presentation and negotiation skills.
- Strong analytical skills, excellent interpersonal and communication skills.
- Fluency in English is preferable.
- Strong knowledge and experience in Optical, DWDM, MPLS, and Routing are preferable.
- Extensive experience in the ISP, Internet peering, and International connectivity industry is preferable.
- Relevant software development experience or commercial/sales experience.
- Ability to understand and determine an enterprise customer's needs and how AIS's products and solutions might best fit through a consultative approach.
- Ability to thrive in a fast-paced environment, set demanding expectations, and consistently exceed them.
- Must be organized, a self-starter, and capable of delivering high-quality work without constant tactical oversight.
āļāļąāļāļĐāļ°:
Procurement, Compliance, Mechanical Engineering
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Develop and maintain comprehensive Turnaround and Maintenance plans including scope definition, work packages, resource plans, and cost estimates..
- Work closely with the Scheduler, Execution Lead, and Operations Team to ensure alignment between planning and field execution..
- Identify critical and sub-critical paths, ensuring timely completion of key milestones and activities..
- Prepare detailed Job Packs including safety documentation, material lists, and execution procedures..
- Coordinate with procurement and contracting teams to ensure material and contractor readiness in accordance with turnaround timelines..
- Apply and maintain Planning & Estimating Tools (Primavera, MS Project, or equivalent) for effective scheduling and progress tracking..
- Provide support during field execution, resolve scheduling conflicts, and update the plan to reflect actual progress.
- Monitor work performance, cost variance, and schedule deviation; provide recommendations to improve work efficiency.
- Lead coordination with SHE (Safety, Health, Environment) to ensure all turnaround activities meet safety and compliance requirements.
- Support preparation of post-turnaround analysis and lessons learned documentation to drive continuous improvement..
- QualificationsBachelor s degree or higher in Mechanical Engineering or related field..
- Minimum 5 years of experience in Maintenance Planning within the Oil & Gas industry..
- Experience in Turnaround (TA) Planning is highly preferred..
- Strong understanding of Mechanical Systems, Maintenance Procedures, and related documentation..
- Familiar with Primavera, MS Project, or other planning tools..
- Good command of English (TOEIC score 200 or equivalent).
- Capable of using digital devices such as iPad for on-site data input, tracking, and analysis..
- Strong communication, coordination, and problem-solving skills.
- Ability to work under pressure and adapt to shift-based schedules.
āļāļąāļāļĐāļ°:
Compliance, Legal
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Handle all quality excursions, take effective actions and follow proper escalation.
- Support and follow up the product & material quality from NPI to mass production (FAI(First Article Inspection), IP(Inspection Plan), WI(Work Instruction), etc.). This includes following industry specific protocols as required.
- Assist to create the quality control plan for respective area (material/process/product).
- Analyze, monitor and report quality KPI for internal (factory) and external (customer). à ÀÓ RFPY (Rolled First Pass Yield)/OBA(Out of Box Audit) - RMA (Returned Material Authorization)/DPQL(Delivered Product Quality Level) - Customer feedback - LRR(Line Reject Rate)/ RI Flag(Receiving Inspection Flag)/WWQA(World Wide Quality Alert).
- Drive continuous improvement to benefit customer, CLS and supplier.
- Draft internal quality system procedures, work instructions and workmanship standards.
- Assist process/product/system/supplier audit and improvement actions follow up. - Industry standards (e.g., ISO) - Compliance audit - Safety audit etc.
- Follow up the EC (Engineering Change), SPCN (Supplier Process Change Notification) to ensure the implementation of changes is timely and accurate (initiated both externally and internally).
- Enhance the quality skills and product knowledge through the training program.
- Accomplish the jobs assignment from the superior and participate in the quality strategy deployment.
- Knowledge/Skills/Competencies.
- Knowledge of quality tools, ISO and IPC standards and processes.
- Knowledge of software as used in generating reports capturing data & presenting data in an understandable format.
- Knowledge of manufacturing processes Understand quality tools such as FMEA, PMP, SPC, 8D methodology, etc.
- Understand Six Sigma and Lean Kaizen.
- Knowledge and understanding of the business unit and how decisions impact customer satisfaction product quality,on-time delivery and profitability of the unit.
- Ability to effectively communicate with a wide variety of internal and external customers.
- Physical Demands.
- Repetitive manual movements (e.g., keyboarding).
- Sustained visual concentration on small areas, such as monitors, screens.
- Sustained visual concentration on numbers, legal documents.
- The job works in a normal office environment with no undue exposure to noise, odours, dust, drafts, etc.
- Typical Experience.
- 4 to 6 years ( 2- 4 years).
- Typical Education.
- Bachelor's Degree.
- 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.
āļāļąāļāļĐāļ°:
Software Testing, Teamwork
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Assist in executing predefined test cases under close supervision.
- Learn and apply basic testing concepts (functional, regression, UI testing).
- Document defects and support bug tracking with guidance from senior team members.
- Identify, report, and track software defects.
- Work closely with QAs teams to ensure test coverage.
- Ensure accuracy, completeness, and efficiency of software through thorough testing.
- Bachelor s Degree in Computer Engineering, Computer Science, Software Engineering or related field.
- At least 6-month of experience in manual software testing.
- li>Basic knowledge of software development lifecycle (SDLC) and QA concepts.
- Understanding of manual testing (functional, regression, UI).
- Familiarity with bug tracking tools (e.g., Jira, Trello) is a plus.
- Good attention to detail and willingness to learn.
- Good communication and teamwork skills.
- Fluent in Thai communication.
āļāļąāļāļĐāļ°:
Quality Assurance, Assurance, JSON, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Analyses technical problems of high complexity. Assesses scope of impact and provide suggestion to mitigates the problem.
- Conducts problem root cause analysis in correlation with multiple related system. Identifies options for permanent resolution. Recommended service improvement to relevant team.
- Ensure overall services stability. Automate monitoring process and perform service recovery when necessary.
- Participate in service recovery call and provide immediate technical assistance for major service outage and aim to rectify and recover the service the soonest.
- Sign off on service quality from supportability aspect. Deploy software into production environment follows the instruction created by development team.
- Monitor service capacity, forecast an increase in system usage due to new content or new customer onboarding.
- Collaborate closely with development team, quality assurance team, products management team, and other related parties to achieve the desired outcome.
- Provide expertise recommendation to improve services. Reduce all manual and repetitive task by aiming to automate everywhere possible.
- Document and sustain team's knowledge. Learn and understanding of service workflow end to end, tooling, for monitor services and investigate problems.
- Flexible working hour and sometime require working outside normal working hour, to collaborate with colleagues in other time zone to mitigate the critical service problems.
- Required Qualifications & Experience: Degree in Computer Science, Information Technologies or equivalent experience.
- Proficient English communication. Confident to lead service recovery call with teams from different locations.
- Hands-on experience in a related technical role or technical support work in troubleshooting and investigating IT system/application incidents.
- Strong analytical thinker, problem solver, self-motivated and able to work in a fast-paced work environment with minimal supervision.
- Eager to learn new technologies. Always looking for improvement opportunities and open for changes.
- Understanding of REST API, JSON, XML, tools for investigating HTTP requests, Postman.
- Basic knowledge relational Database, SQL, Store Procedure, Database Trigger.
- Ability to multitask, prioritize and work under tight time constraints.
- Desired Experience: Exposure on any cloud services, preferably AWS. Have been using service such as CloudWatch, Lambda, EC2/ECS, ELB, IAM, S3, DynamoDB, Aurora RDS, SQS/SNS, OpenSearch.
- Exposure to service monitoring tools such as BigPanda, DataDog, CloudWatch Alarm.
- Experience in programming languages, preferably Python, Java, JS.
- CI/CD knowledge, understanding on Jenkin, GitLab, GitHub.
- Experience working with microservices architectures, event/message driven system.
- Hand-on Unix/Linux/Sun Solaris skill and shell programming.
- LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it s used for, and how it s obtained, your rights and how to contact us as a data subject. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
āļāļąāļāļĐāļ°:
Assurance, GMP, Business Development
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Operates to maintain a state of quality oversight control and keep the QMS current with good industry practices.
- Ensuring DKSH Healthcare operations are in compliance with applicable government laws and regulations, GDP & GMP requirements.
- Maintenance of the various licenses required to operate DKSH Healthcare s Distribution Centre.
- Report QMS metrics (ie KPIs), including trends that helps decision-making and taking proactive corrective/preventive actions.
- Review complaints/incidents/deviations to determine if it relates to a failure to meet specification/procedure/regulatory requirement, if so investigate and report to top management, client and/or health authority if it is critical / serious / life threatening.
- Identify, develop and establish contact with new/potential/existing business partners in line with Company business development strategy and prioritizing business opportunities. Manage profit and loss of QA teams by planning resources versus income.
- Leads the QA teams to ensure roles and responsibilities are carried out diligently, meeting clients contracted Quality Agreements.
- Ensuring continuous improvement in processes are in place in order to optimize warehousing and distribution activities.
- Provide QA training to internal teams to ensure strong foundation for compliance to regulatory requirements thus contributing to organizational success.
- Provide QA training externally to business partners, whenever required.
- Coordinate and lead all Healthcare related audits (Internal & External).
- Organize reviews with key Clients Quality Management (together with DKSH Supply Chain Management).
- Organize reviews Certification projects.
- Attend quality audit which are conducted by key Regional Clients.
- Report to VP Business Unit HEC after summary investigation when critical events happen to ensure senior management is made aware of such events.
- Review Corrective and Preventive Actions for critical Audit Reports.
- Coordinate specific projects such as Cold Chain management, Transportation Management and lay-out of new DC s.
- Functional Skills and Knowledge.
- Quality experiences for a pharmaceutical distribution organization and working knowledge on the requirement from the Ministry of Health (MOH) for distribution of regulated drugs.
- Working knowledge of ISO 9001, ISO 13485, GDP and GDPMD in addition to being qualified as the Lead Auditor.
- Education.
- Degree in Pharmacy / Thailand Registered Pharmacist or Degree in Science.
- Requisition Number: 171544 Job Function: Audit
āļāļąāļāļĐāļ°:
Problem Solving, Linux, Network Programming
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Collaborate with globally based support colleagues to further investigate issues with Enterprise software components in internal and external client environments.
- Apply and leverage knowledge and expertise of Enterprise software components to provide thorough technical analysis and issue replications of complex issues.
- Work with development teams as needed to bring issues to resolution.
- Participate in Support case reviews.
- Contribute to product and internal documentation.
- Handle multiple complex issues in a challenging, dynamic technical environment.
- Qualifications (Must-Haves): 5 or more years of computer software industry experience in real-time, multi-threaded systems, with an emphasis on technical analysis and problem solving.
- Solid, demonstrated experience with Linux and Windows Operating Systems - including shell scripting, system tools, procedures - that aid in operation and troubleshooting of software components that operate in those environments.
- Experience in network programming (e.g., sockets, TCP/IP, UDP, multicast).
- Strong, demonstrated analytical troubleshooting skills.
- Strong written and verbal communication skills.
- Bachelor s degree in CS, Engineering or related is required; masters preferred.
- Qualifications (Nice-to-Haves): Knowledge and experience in real-time C/C++ programming.
- Knowledge and experience in database (Postgresql, Oracle, etc).
- Financial industry experience a strong plus.
- Sounds exciting to you? Apply now and get connected with us! LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it s used for, and how it s obtained, your rights and how to contact us as a data subject. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
āļāļąāļāļĐāļ°:
DevOps, Automation
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Education & Certifications Bachelor s degree in Computer Science, Engineering, or related field.
- Professional-level cloud certifications (e.g., AWS Solutions Architect Professional, Azure Solutions Architect Expert, Google Cloud Professional Cloud Architect).
- ITIL Foundation or equivalent (nice to have, for service integration).
- Technical Skills Proven experience (7-10 years) designing cloud solutions for enterprise environments.
- Hands-on expertise with IaaS, PaaS, and SaaS offerings across Azure, AWS, and GCP.
- Strong understanding of hybrid cloud, multi-cloud networking, and security architectures.
- Familiarity with DevOps/automation (Terraform, Ansible, CI/CD pipelines).
- Knowledge of cloud economics, FinOps, and cost optimization.
- Soft Skills Ability to translate business requirements into technical solutions.
- Strong documentation, presentation, and client-facing skills.
- Comfortable guiding delivery teams and advising stakeholders.
- Hybrid Working About NTT DATA
- NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.
- Equal Opportunity Employer
- NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
- Third parties fraudulently posing as NTT DATA recruiters.
- NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an @nttdata.com email address. If you suspect any fraudulent activity, please contact us.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
āđāļĄāđāļāļģāđāļāđāļāļāđāļāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļ
āļāļąāļāļĐāļ°:
Electrical Engineering, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļēāļĢāđāļāđāļāļĄāđ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ20,000 - āļŋ25,000
- Design, develop and implement process automation system for manufacturing..
- Implement and suppport electrical, automation and instrument system in manufacturing (PLC,DCS,Loop test)..
- Collaborate with cross-function team (Engineering, Production, IT) to integrate automation solution..
- Ensure projects are completed on time, within budget and in compliance with safety and quality standard..
- Design, develop and implement process automation system for manufacturing..
- Welcome New Graduated!.
- Good command in English and Computer skills..
- Good Problem-solving and Analytical skills..
- Situational Adaptability..
- Self-motivated, proactive and eager to learn new technology..
- Able to work in upcountry..
āļāļąāļāļĐāļ°:
Project Management, Financial Reporting, Accounting
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Responsible for understanding and implementing the customers technical roadmap and related process development projects.
- Lead and implement the development and release of the full manufacturing process for new customer products.
- Understand and provide feedback on customers technical requirements to team members and management.
- Responsible for developing and implementing costed and optimized feedback using Design for manufacturability (DFX) tools and processes, with the goal of reducing manufacturing cost and improving quality and reliability of product.
- Develop, plan and lead the assessment of the capability of process applications using Design of Experiments.
- Devise process controls and data collection strategies and evaluate complex data to assist with reporting yield, reliability and diagnoses to root causes failures impacting product quality.
- Ensure accurate and timely communication to management on critical technical and business issues.
- 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.
- Project Management - 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 Imperatives.
- 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.
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āļāļģāđāļāļ°āļāļģāļāļēāļĢāļŦāļēāļāļēāļāđāļāļīāļāđāļāļĨāļŠāļļāļāļĒāļāļ 50 āļāļĢāļīāļĐāļąāļāļāļĩāđāļāļāļĢāļļāđāļāđāļŦāļĄāđāļāļĒāļēāļāļĢāđāļ§āļĄāļāļēāļāļāđāļ§āļĒāļĄāļēāļāļāļĩāđāļŠāļļāļ 2025
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