Filter Jobs

Experience:

2 years required

Skills:

Biology, English

Job type:

Full-time

• Accelerated Development: Our venture studio model streamlines the typically lengthy process of biotech innovation. With access to expert operational, legal, finance, and HR teams, you can bypass common startup hurdles and focus immediately on scientific advancement and strategic growth..
• Integrated Resource Access: You will have direct access to state-of-the-art labs, cutting-edge infrastructure, and specialized development and product teams tailored to your project s unique needs facilitating rapid iteration and optimized drug develop ...
• Collaborative Synergies: Joining our venture studio connects you with a vibrant ecosystem of experienced entrepreneurs, distinguished scientists, and industry leaders. This collaborative environment encourages cross-pollination of ideas, mentoring opportunities, and strategic partnerships, enhancing both innovation and your professional growth..
• Strategic Support and Investment: Beyond initial capital, Great Good provides ongoing strategic guidance and operational support. Our comprehensive back-office resources help manage day-to-day complexities while our investment in your venture ensures you have the means to scale quickly and capture market opportunities..
• Enhanced Commercial Potential: By working under the venture studio umbrella, you not only drive scientific breakthroughs but also elevate the commercial viability of your project. Our model is designed to maximize innovation in drug therapeutics and generate significant market value, positioning your venture for long-term success and impactful industry leadership..
• About the Role.
• We are seeking a motivated and experienced CRISPR Scientist to join our dynamic R&D team and drive the design, execution, and analysis of our gene editing projects. If you are passionate about translating innovative science into transformative medicine, we encourage you to apply..
• Design and execute experiments using various CRISPR-Cas systems (e.g., OPENCRISPR1, Cas9, Cas12a, Base Editors, Prime Editors) for gene editing in mammalian cells, including primary cells and immortalized cell lines. This scope of work is expected to include using machine learning platforms to screen, analyze, synthesize and test enzymes of the Cas and deaminase classes as well as nickase conversion..
• Develop and optimize methods for gRNA design, delivery (e.g., lipofectamine, lipid nanoparticles, electroporation), and assessment of editing efficiency and specificity using PCR and NGS technologies..
• Analyze and interpret complex data sets, including molecular biology assays (qPCR, Western Blot, ELISA), next-generation sequencing (NGS) data for on-target and off-target editing, and functional cell-based assays..
• Culture and manipulation of various cell lines (HEK-293, HeLa, iPSCs, and T cells), with a focus on validating utility of novel complexes to perform precise editing in cells..
• Troubleshoot experimental hurdles and contribute creative solutions to accelerate project timelines. This will include minimizing off-target and bystander editing by correct selection of PAMs and other critical sequences..
• Document experiments in electronic lab notebooks and present results clearly at internal meetings..
• Stay current with the latest scientific literature, technology advancements, and regulatory requirements pertaining to CRISPR and gene therapy..
• Collaborate effectively with interdisciplinary teams including technicians and scientists, in the immunology, cell biology, drug development and bioinformatics fields..
• Required.
• Ph.D. in Molecular Biology, Cell Biology, Genetics, Biochemistry, or a related field..
• Minimum of 2+ years of relevant post-doctoral or industry experience focused on gene editing techniques, specifically CRISPR technology. Experience in Base Editors and human T cells is desired..
• Deep expertise in mammalian cell culture techniques, including transfection and viral transduction..
• Proficiency in molecular biology techniques, including DNA/RNA isolation, PCR/qPCR, cloning, and gel electrophoresis..
• Demonstrated experience with assays used to quantify gene editing outcomes (e.g., T7 Endonuclease I assay, NGS library preparation and analysis)..
• Excellent written and verbal communication skills with the ability to present complex data effectively..
• Preferred.
• Industry experience in a Biotech or Pharmaceutical setting..
• Experience with non-Cas9 CRISPR systems (e.g., Base/Prime Editors, dCas9 fusions) is a strong plus..
• Familiarity with in vivo delivery methods and animal models..
• Experience with high-throughput screening and automation..
• Experience with CAR-T cell development.
• Experience with antiviral therapeutics..
• What We Offer.
• Competitive compensation and equity package in an early-stage, high-growth startup..
• The opportunity to make a significant impact on developing next-generation therapies..
• A collaborative, fast-paced, and intellectually stimulating culture..
• To Apply, please submit your CV and a cover letter detailing your relevant experience to [email protected] or Application Link: https://forms.gle/Ewgtmcgwuv6B5KJ66..

Job type:

Full-time

• 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].

Skills:

Digital Marketing, Big Data, Statistics

Job type:

Full-time

• 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.".

Skills:

Microsoft Office

Job type:

Full-time

• ให้คำแนะนำเกี่ยวกับความปลอดภัยอาชีวะอนามัยและสภาพแวดล้อมในการทำงานให้เป็นไปตามกฎหมายที่กำหนด.
• จัดทำทะเบียนกฎหมายที่เกี่ยวข้องประเมินความสอดคล้องข้อกำหนดของกฎหมายและข้อกำหนดอื่นๆ.
• กำกับและตรวจสอบบุคคลากรให้ปฏิบัติตามนโยบายความปลอดภัยของบริษัทรวมถึงกฎหมายหรือมาตรฐานด้านความปลอดภัยที่เกี่ยวข้อง.
• กำกับดูแลฝึกอบรมพัฒนาบุคคลากรในส่วนที่เกี่ยวข้องให้มีความตระหนักและความรู้ถึงการปฏิบัติงานอย่างปลอดภัยเพื่อป้องกันอุบัติเหตุในการทำงาน.
• พัฒนาทีมงานให้มีความรู้ความชำนาญยิ่งขึ้นเพื่อการทำงานอย่างมีประสิทธิภาพ.
• งานอื่นๆตามที่ได้รับมอบหมาย.
• วุฒิประกาศนียบัตรวิชาชีพชั้นสูง เทคนิคอุตสาหกรรม, วุฒิปริญญาตรีหรือสูงกว่าสาขาวิศวกรรมความปลอดภัย
• สาขาอาชีวอนามัยและความปลอดภัย.
• มีใบอนุญาตหลักสูตรความปลอดภัยตามที่กฎหมายกำหนด (จำเป็น).
• มีความรู้พื้นฐานทางด้านงานช่าง.
• มีทักษะการบริหารจัดการทีมงานและการคิดวิเคราะห์เชิงสร้างสรรค์.
• มีมนุษยสัมพันธ์และทักษะในการติดต่อสื่อสารที่ดี.
• มีใจรักงานด้านการให้บริการและมีความสุขุมรอบคอบละเอียดถี่ถ้วนในการทำงาน.
• สามารถใช้โปรแกรมสำเร็จรูปMicrosoft Office.
• สามารถสื่อสารภาษาอังกฤษได้ดี.
• ทำงาน 6 วันต่อสัปดาห์.

Skills:

Power BI, Tableau, Statistics

Job type:

Full-time

• 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).
• ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง.
• ภาษาไทย: (https://krungsri.com/b/privacynoticeth).
• หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ.
• 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..

Job type:

Full-time

• 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.

Job type:

Full-time

• 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.

Experience:

2 years required

Skills:

ENVI, English, Thai

Job type:

Full-time

• Visit clients and manage sales activities within the assigned territory to achieve sales targets..
• Develop sales plans, present products, and close sales..
• Provide consultation to customers, collect customer and market data, coordinate product delivery, and ensure after-sales service..
• Troubleshoot product usage issues and take responsibility for achieving sales objectives..
• Male or Female, aged 22-35 years old..
• Bachelor s degree in Science or Engineering (any field)..
• Good command of English speaking, listening, reading, and writing..
• Willing to travel and work upcountry as required..
• Possess good interpersonal and communication skills, a pleasant personality, and a strong service-minded attitude..
• High sense of responsibility, patience, and ability to work well under pressure..
• Able to drive a car with a valid driver s license and use it for work purposes..
• Candidates with 1-2 years of sales experience will be considered an advantage..
• Why to apply?
• Join a company with a strong reputation and continuous growth in the industry. Enjoy opportunities for professional development, a supportive work environment, and competitive benefits.

Skills:

Statistics, Python, SQL

Job type:

Full-time

• 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..

Skills:

Sales, Negotiation, Software Development, English

Job type:

Full-time

• 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.

Skills:

Procurement, Compliance, Mechanical Engineering

Job type:

Full-time

• 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.

Experience:

3 years required

Skills:

Electrical Engineering, English

Job type:

Full-time

• วางแผนและควบคุมงาน.
• งานทดสอบ.
• วิศวกรไฟฟ้าจะถูกส่งไปทำงานในไลน์ผลิตก่อน 3 เดือนเพื่อให้เข้าใจขั้นตอนการทำงานในแผนกผลิต และรู้จักกับวัสดุอุปกรณ์ภายในโรงงาน ก่อนจะถูกแยกออกเป็นวิศวกรแต่ละแผนก ได้แก่ 1.บริหารงานโครงการ 2.ออกแบบประเมินราคา 3.Support Sales.

Experience:

3 years required

Skills:

Statistical Analysis

Job type:

Full-time

• Under supervision and with minimal assistance define, specify, qualify, install, support and optimize test process and test equipment solutions for manufacturing.
• Lead test process optimization, with a focus on productivity improvements to cycle time and yield for a specific set of equipment within an Operations value stream.
• Debug of test process and equipment solutions using design of experiments, tools, and failure analysis methodologies.
• Collaborate with Quality, Process and Equipment engineers to detect and solve product and test yield and performance issues.
• Develop improvement roadmaps for test coverage, diagnosability, reparability, test time reductions and OEE.
• Analyze and interpret data and information from yield reports and equipment logs and product diagnostics to determine sources of yield loss.
• Provide solution support to process engineers to improve detection of known defect types as part of a Process Control plan.
• Support development of test equipment integration into Manufacturing Execution Systems including yield, tester log and product parametric information.
• Knowledge/Skills/Competencies.
• Interpreting test requirements and documenting test procedures.
• Analyzing data to drive coverage enhancement and first pass yield improvement.
• Good command of Thai & English speaking.
• Leadership and interpersonal skills.
• Typical Experience.
• Minimum 4 years of working experience in ICT Test Development in Electronics industry.
• Experience in large-scale In-circuit MFG ICT test development.
• Typical Education.
• Degree in Electronics 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:

Research, Electronics, Data Entry

Job type:

Full-time

• Design, develop and implement technical solutions in two or more technical areas. Lead smaller projects and may coordinate with other engineers including reviews of their work.
• Review and interpret customer documentation, conduct appropriate research, analysis and experiments with minimal direction from senior staff.
• Creates technical proposals (solution and timelines) based on requirements.
• Research systems ideas and will draw up plans for these systems.
• Design, modify and implement systems that meet customer and Celestica needs.
• Create designs in line with Celesticas procedures, regulations and customer standards.
• Keep up to date with relevant industry knowledge and regulations.
• Solve complex problems.
• Liaison with suppliers, customers, contractors, and other internal teams.
• Recommend system modifications.
• PCB layout Design, Schematic by using Allegro Candence Software.
• Participate in HW/Layout review.
• PCB stack up review.
• Work with the Electrical and Mechanical Engineers to ensure the design meets all requirements from an electrical performance and mechanical enclosure perspective.
• Create and export manufacturing files ( drawing, gerber ) and review DFM/DFT with Manufacturing team.
• Knowledge/Skills/Competencies.
• Refer to technical skills below.
• Bachelor s degree in Electronics Engineering, or equivalent experience.
• 10+ years experience of PCB high speed layout design using industry standard PCB design.
• Experience with using Allegro Cadence software.
• Experience with high current density designs.
• 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.
• 10 to 15 years of related experienc;Experience in similar job roles.
• 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.
• 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.

Skills:

Quality Assurance, Assurance, JSON, English

Job type:

Full-time

• 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.

Skills:

Statistics, Python, TensorFlow, English

Job type:

Full-time

• Design, build, and scale AI and GenAI features within Manatals recruitment platform.
• Lead the development of: AI agents for candidate screening and communication.
• Semantic search and matching engines.
• Resume parsing in multiple languages.
• Generative tools for resume/job summarization, enrichment, and candidate sourcing.
• Natural language interfaces using LLMs (e.g., OpenAI, Claude, Mistral).
• Own end-to-end ML and GenAI workflows: data preparation, model training/fine-tuning, evaluation, and production deployment.
• Continuously evaluate and optimize models for accuracy, latency, and cost.
• Collaborate with product and engineering teams to deliver robust, scalable, and user-friendly AI features.
• Stay up-to-date with the latest research, tools, and APIs in AI and GenAI and bring innovative ideas into the product.
• Help define best practices for safe, efficient, and reliable deployment of AI/GenAI systems in production.
• Bachelors or Masters degree in Computer Science, Mathematics, Statistics, or a related quantitative field.
• Proven experience as a software engineer, with ownership of features deployed in production environments.
• Solid understanding of the full software development lifecycle, including CI/CD, monitoring, and observability in high-load systems.
• Strong programming skills in Python, with hands-on experience using libraries like NumPy, Pandas, Scikit-learn, Transformers, and TensorFlow or PyTorch.
• Experience working with LLMs (e.g., OpenAI, Claude, Mistral) and frameworks for GenAI development (LangChain, PromptLayer, etc.).
• Solid grounding in machine learning algorithms supervised, unsupervised, and deep learning.
• Experience with experiment design, model evaluation, A/B testing, and metrics-driven development.
• Proficiency in SQL and working with large datasets (data cleaning, feature engineering, etc.).
• Good knowledge of cloud infrastructure, especially AWS (e.g., S3, EC2, Lambda).
• Familiarity with containerization and orchestration tools (e.g., Docker, ECS, Kubernetes).
• Strong understanding of modern web application architectures and APIs.
• Excellent communication skills and ability to work cross-functionally.
• Experience in a B2B SaaS environment is a strong plus.
• Bonus: exposure to MLOps practices (model versioning, monitoring, retraining pipelines).
• Working with Manatal.
• This role is based at our Bangkok office in the heart of the city center.
• As a team of diverse cultures and nationalities, English language proficiency is required.
• We enjoy collaborating in person and the team is working on-site.
• Why you'll enjoy working with Manatal.
• Well-funded start-up backed by Surge & Sequoia.
• Be part of one of the fastest-growing B2B SaaS start-ups in the region.
• You will be collaborating with talented individuals in the industry.
• Join a lively and highly international team.
• Indulge in a challenging and innovative working culture.
• Attractive medical healthcare plan.
• Personal development allowance.
• 2 weeks of work from anywhere per year.
• Regular fun team-building activities.
• Company trip.
• Our Tech Stack.
• Our engineering team leverages a variety of modern technologies. While working with Manatal, you can expect to be exposed to the following stack.
• Infrastructure: Amazon Web Services; Kubernetes; GitOps (ArgoCD), Github Actions.
• Backend: Language: Python; Web Frameworks: Python frameworks including Django, Fast API; Databases: PostgreSQL, MongoDB, ElasticSearch, and Redis among others; Other: Celery, RabbitMQ among others.
• Frontend: Javascript & Vue.JS.
• Apply on our Careers Page
• If you are a fit for this role and excited to join Manatal, please follow this link to apply https://www.careers-page.com/m.
• Watch our Demo
• https://www.youtube.com/watch?v=-GG1GqXkAKQ
• https://www.youtube.com/watch?v=VjinpYMUMoc.
• Manatal Hiring
• At Manatal, we are dedicated to building an intuitive AI-powered applicant tracking system to streamline and transform the entire hiring and recruitment process.
• We are devoted to attracting the best talent worldwide to join our team and take pride in being an equal-opportunity workplace. We are committed to equal employment opportunities regardless of religion, race, ethnicity, ancestry, national origin, gender, gender identity, sex, sexual orientation, marital or parental status, disability, age, citizenship or other class protected by applicable law.

Experience:

3 years required

Skills:

Industrial Engineering, Production Engineering, English

Job type:

Full-time

• To design and development packaging, process line and packing machine in food industries field.
• To analyze and evaluate test data in order to find the solution for modified process line & packing machine cost down activities, productivity, and quality improvement.
• To set up the process control standard, packing material specification, packing machine specification, machine safety, and maintenance guideline.
• To manage project and team to stable production when applying project to industrialization stage.
• To communicate with packaging and machine supplier.
• Job Qualification.
• Bachelor or Master Degree in Packaging Engineer, Packaging Technology, Packaging & Material Science, Food Processing Engineering, Food Engineering or related field.
• Having 0-3 years of experience in packaging, packing machine or process line in the food industry or related field.
• Have an experience in production or QA/QC ISO9001 and quality system, ISO18000 and the ISO14001 system will be a special consideration.
• Good command of written and spoken English.
• Computer literate in MS Office.
• Able to work under pressure and skill of negotiation.
• Fresh graduated are welcome.

Skills:

Problem Solving, Linux, Network Programming

Job type:

Full-time

• 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.

Experience:

7 years required

Skills:

Data Entry

Job type:

Full-time

• Create process instruction and qualification documents.
• Responsible to review and prepare.
• Rework tooling (Fixture, Mini-stencil, Nozzle, etc.).
• Rework equipment and spare parts for preventive maintenance.
• Develop and qualify new products, tools, and processes.
• Design, develop, implement, and reduce cycle times for the rework process.
• Resolve quality issues from the rework process.
• Create and optimize the SRT machine program and rework profile.
• Create the PFMEA for the rework process.
• Assist in setting up new products.
• Support job assignment and rework/repair and upgrade per customer requirement.
• Training for subordinates in terms of technical.
• 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.
• Min 7 years of working experience in Electronic Manufacturing Services.
• Typical Education.
• Bachelor degree in Engineering.
• 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:

No experience required

Skills:

Electrical Engineering, English

Job type:

Part-Time

• 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..