เงื่อนไขการค้นหา

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

Good Communication Skills, English

ประเภทงาน:

งานประจำ

• Plan production (what, when, how much to produce)
• Create and manage production schedules
• Control inventory (materials, parts, stock levels)
• Coordinate with suppliers and procurement
• Monitor production progress and adjust as needed
• Ensure on-time delivery (meet deadlines)
• Handle delays and troubleshoot issues
• Balance quality, cost, and delivery (QCD)
• Improve efficiency and reduce waste
• Communicate with factory staff and other departments.
• Must]
• Have experience in Production control
• Have experience in MCF
• Able to commute
• Conversation level in English
• This position is chief level.
• Benefit.
• Bonus
• Provident Fund provided
• Transportation allowance based on commuting distance
• Medical insurance
• 6 days of paid leave after completion of probation period
• Meal allowance
• Perfect attendance allowance.
• Working Hour.
• 08:00 - 17:00.
• Holiday.
• Saturday
• Sunday
• Public holiday
• Work on Saturday every other weeks.

ทักษะ:

Cost Estimation, Scrum, DevOps, English

ประเภทงาน:

งานประจำ

• Assist with business and IT Strategic planning to advise on the impact to business and IT architecture from business strategy decisions.
• Assist in the innovation initiatives by assessing the impact of innovations on business and IT architecture.
• Assist with Program/Project Portfolio planning and prioritization to advise the portfolio management team on dependencies between different projects and impact of the project on the overall architecture.
• Assist with Project execution to review architecture design during the feasibility study and project implementation.
• IT business architect works to support the vendor selection by providing inputs into overall architectural considerations for the RFP process, validate proposed vendor solutions, provide inputs in architectural considerations and review vendor response and advise on scoring criteria.
• Work to support the identification and integration of project architecture, including advising on the best solution based on EA principles and/or EA standards, support with the impact analysis of the project architecture to identify business, information, application and technical architecture impact.
• Identify application portfolio rationalization, identify overlapping functionalities, support in identifying master applications, and drive the application decommission planning activities.
• Understand and promote EA framework and update EA documents including EA principles, EA reference architecture, EA policies and EA standards.
• Maintain EA tool and update the information to EA tool to ensure the up-to-date information in the EA Tool.
• Provide EA training about EA concepts, EA tool, EA reference architecture to both business and IT.
• Bachelors or Master of Information System Management, Computer Engineering or related fields.
• At least 7 years of experience in IT Architect-related roles in large-scale projects in Banking /Financial industries.
• Experience participating in all aspects of large-scale IT implementation projects including planning and cost estimation through requirements, design, development, testing, implementation, production, and ongoing operational support and maintenance.
• Strong knowledge and understanding of common architecture models such as TOGAF, IT governance, key architecture governance models, underlying tools, and supporting processes (e.g. architecture approval, architecture change control, architecture's role in project and standards oversight), IT Development and operations methods (e.g. SDLC, Agile, Scrum, DevOps), security and compliance models.
• Good written and verbal communication, presentation of both Thai and English skills.
• Ability to explain complex technical issues in a way that non-technical people may understand.
• Strong Leadership, influencing, motivating and negotiating skills.
• Good judgment within broadly defined practices in obtaining desired results, analytical and problem-solving skills.
• Only shortlisted candidates will be contacted"
• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer).
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

GMP, Thai, English

ประเภทงาน:

งานประจำ

• Restore Nan s Pristine Headwater Forest.
• Leading the way in sustainable agroforestry and innovative medicinal plants solutions.
• The K Agro-innovate Institute (KAI), established in 2021 under the Kasikornthai Foundation with unwavering support from KASIKORNBANK, serves as a knowledge integrator dedicated to finding sustainable solutions for the critical issue of watershed forest depletion in Nan province, Thailand. KAI aims to increase per-rai income, reduce cu ...
• In collaboration with Rajamangala University of Technology Lanna, Nan, KAI is dedicated to transforming Thailand s rich biodiversity into world-class innovations that benefit people, communities, and the environment. Through our Pharma-Agroforestry District (PAD), we integrate cutting-edge research with sustainable agroforestry to unlock the potential of medicinal plants, create high-value natural products, strengthen rural livelihoods, and help restore the Nan watershed forests. We have established Pharma-Agro Innovation Center (PIC) equipped with advanced technologies to provide advanced extraction, phytopharmaceutical analysis, and quality assurance services that support research excellence and elevate Thai medicinal plants to international standards.
• We are looking for a passionate and capable leader to join us as the Production Manager, Pharma-Agro Extraction Services (PES) in Nan Province.
• Production Manager - Pharma-Agro Extraction Services (PES) will lead extraction operations at our state-of-the-art Pharma-Agro Innovation Center (PIC), ensuring every production batch is safe, compliant, reproducible, and delivered on schedule. You will oversee pilot-scale GMP manufacturing activities and work closely with R&D, QA, QC, PAL, and Engineering teams to support technology transfer, process scale-up, and continuous improvement, while maintaining the high standards required for pharmaceutical development.
• Lead daily extraction production to deliver compliant, on-time, and reproducible extract batches in accordance with approved manufacturing processes, batch records, and production schedules.
• Plan and oversee extraction operations, ensuring production readiness through effective management of raw materials, equipment, documentation, line clearance, and manpower.
• Monitor critical process parameters (CPP), in-process controls, extraction yield, and production performance, while investigating and escalating process deviations as appropriate.
• Collaborate with R&D to support technology transfer, process scale-up, and troubleshooting, and coordinate with QA, QC, and Pharma-Agro Analysis Laboratory (PAL) to ensure product quality and batch release readiness.
• Ensure full compliance with GMP/GHPP requirements, approved SOPs, safety standards, and production documentation, while working closely with Engineering and Maintenance to maintain equipment readiness and reliability.
• Coach and develop the production team through training, competency development, and a culture of operational excellence.
• Drive continuous improvement initiatives to enhance productivity, extraction efficiency, equipment utilization, and manufacturing performance.
• Monitor production KPIs, prepare operational reports, and foster a culture of quality, safety, accountability, teamwork, and continuous improvement.
• Bachelor s degree in Pharmacy (preferred), Pharmaceutical Sciences, Food Science, Chemical Engineering, or other related disciplines. Pharmacists with experience in GMP manufacturing and extraction operations are strongly encouraged to apply.
• Minimum 5 years of experience in extraction manufacturing, pharmaceutical production, herbal medicinal product manufacturing, pilot plant operations, or other regulated production environments.
• Solid understanding of GMP/GHPP, batch manufacturing documentation, equipment operation, and production control.
• Demonstrated understanding of pharmaceutical manufacturing principles, quality risk management, data integrity, and GMP documentation in a regulated environment.
• Experience with botanical extraction, process optimization, technology transfer, or pharmaceutical manufacturing is highly desirable.
• Strong leadership, problem-solving, planning, communication, and cross-functional coordination skills.
• Ability to manage multiple priorities while maintaining high standards of quality, safety, and regulatory compliance.
• Willingness to relocate and work full-time on-site in Nan Province.
• If you re passionate about making a difference and high social impact, apply now by submitting your resume via email to [email protected].

ทักษะ:

Finance, Swift, Software Development

ประเภทงาน:

งานประจำ

• Work with business user on various channel such as meeting, mail, etc., to gather the requirements and propose the solution.
• Determining the requirements of a project or program, and communicating clearly to stakeholders, facilitators and partners.
• Work with development team on user requirement, system impact analysis to provide the proper solution with the good quality of system delivery, cost&time effectively.
• Production management on incident and new enhancement implementation.
• Support Testing Team both SIT and UAT.
• Job Description / ResponsibilitiesWork with business user to gather the requirement and propose the proper solution.
• Review and verify the business requirement and related system design document.
• Developing technical solutions to business problems.
• Manage IT project to be implemented on time with good quality.
• Manage software quality control before delivery to user acceptance test stage.
• Work with vendor to transfer knowledge for long term system support by our own.
• Manage IT project and coordinate with related parties.
• Produce necessary system report/document to supervisor or management as per request.
• Act as the primary communicator to upper management, sponsors, and stakeholders.
• QualificationsBachelor or Higher in computer science or computer related field.
• At least 7 years in requirement management and system impact analysis.
• At least 5 years in project management and resource management in SDLC, Agile process.
• Corporate Banking knowledge: Cash Management, Trade Finance, SWIFT, Ripple.
• Project Management.
• Understanding of systems engineering concepts.
• Business case development.
• Software development methodology such as Waterfall, Rapid, AGILE,.
• Basic IT knowledge on H/W infrastructure, S/W technical tool, MS Office.
• Please note that we will get in touch with shortlisted candidates only.
• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer).
• LINKEDIN: Krungsri (http://bit.ly/LinkedinKrungsri).
• Applicants can read the Personal Data Protection Announcement of the Bank's Human ResourcesFunction by typing the link from the image that stated below.
• EN.
• (https://krungsri.com/b/privacynoticeen).
• 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.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

AutoCAD, English

ประเภทงาน:

งานประจำ

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

ทักษะ:

Compliance, Research, Python

ประเภทงาน:

งานประจำ

• Build and Optimize Modern AI Applications: Design and deploy a range of LLM-powered solutions, including Retrieval-Augmented Generation (RAG) pipelines, natural-language data querying, tool-using and function-calling workflows, and other Generative AI applications, to deliver accurate, grounded, and citable responses..
• Develop Statistical and Machine Learning Models: Develop, deploy, and maintain traditional statistical models and machine learning algorithms (e.g., regression, classification, clustering) to solve structured data problems and complement broader AI ini ...
• Collaborate with the Data Team: Work together on data preprocessing, embedding generation, and pipeline integration, leveraging the AWS enterprise data platform to supply clean, well-governed data for AI workloads..
• Optimize and Harden Production Services: Improve production AI services for reliability, scalability, latency, and cost, document solutions clearly, and communicate outcomes to both technical and non-technical stakeholders..
• Monitor and Observe Production AI: Implement tracing, observability, and dashboards to track quality, latency, drift, and cost-per-task across the model lifecycle..
• Ensure AI Ethical Standards, Compliance, and Data Privacy: Apply input/output guardrails, PII redaction, access controls, and grounding safeguards, in alignment with internal data governance policies and emerging AI regulations..
• Mitigate AI-Assisted Development Risks: Critically evaluate and audit AI-generated code to prevent security vulnerabilities, logic flaws, and technical debt, ensuring deep technical understanding rather than over-reliance on automated code generation..
• Monitor and Observe Production AI: Implement tracing, observability, and dashboards to track quality, latency, drift, and cost-per-task across the model lifecycle..
• Ensure AI Ethical Standards, Compliance, and Data Privacy: Apply input/output guardrails, PII redaction, access controls, and grounding safeguards, in alignment with internal data governance policies and emerging AI regulations..
• Mitigate AI-Assisted Development Risks: Critically evaluate and audit AI-generated code to prevent security vulnerabilities, logic flaws, and technical debt, ensuring deep technical understanding rather than over-reliance on automated code generation..
• Bachelor s Degree or higher in Computer Science, Artificial Intelligence, Data Science, Computer Engineering, or related technical field.
• 1 to 4 years of hands-on experience in AI/ML development, or an equivalent record of strong personal projects, research, or internships building applied AI/LLM solutions.
• Programming: Strong proficiency in Python for building AI/ML applications, including working with LLM APIs/SDKs and common AI libraries, as well as practical experience in data manipulation (e.g., using Pandas or SQL to clean and prepare data)..
• LLM Development: Hands-on experience building LLM-powered applications, including prompt design, tool/function calling, and connecting models to external data and tools..
• Retrieval & Vector Databases: Familiarity with vector databases, embedding models, and chunking/retrieval strategies (such as semantic chunking, hybrid search, and reranking)..
• Statistical Modeling & Machine Learning: Solid foundation in applied statistics, probability, and classical machine learning techniques. Proven ability to evaluate trade-offs and select the optimal modeling approach for specific business objectives..
• Cloud Computing: Experience with cloud platforms. AWS is the primary ecosystem for deploying and serving AI workloads, while familiarity with GCP or Azure is a welcome advantage..
• Engineering & LLMOps: Familiarity with version control (Git) and an awareness of general MLOps/LLMOps concepts (such as basic model testing, tracking performance, or managing prompts)..