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āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
āđāļĄāđāļāļģāđāļāđāļāļāđāļāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļ
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ16,000+ , āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļāļĢāļ§āļāļŠāļāļāđāļĨāļ°āļāļ§āļāļāļļāļĄāļāļļāļāļ āļēāļāļ§āļąāļāļāļļāļāļīāļāļāđāļāļāđāļāđāļēāļŠāļđāđāļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļĨāļīāļ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļāļāļĨāļāļāļāļąāļ§āļāļĒāđāļēāļāđāļāļŦāđāļāļ lab āļāļĢāđāļāļĄāļāļąāļāļāļķāļāļāļĨāđāļĨāļ°āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļ.
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļāļĩāļĄāļāļĨāļīāļ āđāļāļ·āđāļāđāļŦāđāļāđāļēāļāļāļĨāļāļāļŠāļēāļĄāļēāļĢāļāļāļģāđāļāđāļāđāļāļēāļāļāļĢāļīāļāđāļāđ.
- āļāļ§āļāļāļļāļĄāļāļļāļāļ āļēāļāļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļĨāļīāļāđāļŦāđāđāļāđāļāļāļēāļĄāļĄāļēāļāļĢāļēāļāļēāļ.
- āļŠāļāļąāļāļŠāļāļļāļāļāļēāļāļāļąāļāļāļēāļ§āļąāļŠāļāļļāļāļāđāļāđāļĨāļ°āļāļīāļāļāļĢāļ°āļāļąāļ.
- āļāļđāđāļĨāđāļĨāļ°āļāļģāļĢāļļāļāļĢāļąāļāļĐāļēāļāļļāļāļāļĢāļāđāļāļāļĨāļāļāđāļāļŦāđāļāļ lab.
- āļŠāļāļāđāļāļĩāļĒāļāđāļāļĢāļ·āđāļāļāļĄāļ·āļāļ§āļąāļāļāļ·āđāļāļāļēāļāļāļēāļĄāļāļģāļŦāļāļ.
- āļāļĢāļīāļāļāļēāļāļĢāļĩ āļ§āļīāļĻāļ§āļāļĢāļĢāļĄāļ§āļąāļŠāļāļļ āļ§āļąāļŠāļāļļāļĻāļēāļŠāļāļĢāđ āļŦāļĢāļ·āļāļŠāļēāļāļēāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļĒāļīāļāļāļĩāļĢāļąāļāļāļąāļāļĻāļķāļāļĐāļēāļāļāđāļŦāļĄāđ.
- āļĄāļĩāļāļ§āļēāļĄāļĨāļ°āđāļāļĩāļĒāļ āļĢāļāļāļāļāļ āļāļāļāļāļēāļāļāļāļĨāļāļ āđāļĨāļ°āļāļĢāđāļāļĄāļāļąāļāļāļēāļāļąāļ§āđāļāļ.
- āļāļģāļāļēāļāļĢāđāļ§āļĄāļāļąāļāļāļđāđāļāļ·āđāļāđāļāđāļāļĩ āđāļĨāļ°āļāļĢāļ°āļŠāļēāļāļāļēāļāđāļāđāļāļĨāđāļāļ.
- āļāļąāļĻāļāļāļāļīāđāļāļīāļāļāļ§āļ āļĄāļļāđāļāļĄāļąāđāļāđāļĢāļ·āđāļāļāļāļļāļāļ āļēāļ.
- āļŦāļēāļāļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāļ·āđāļāļāļēāļāļāđāļēāļ ESG āļāļ°āđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ.
- āļāđāļēāļāļŠāļļāļāļ āļēāļ āđāļĨāļ° Wellness.
- āļāļĢāļ°āļāļąāļāļŠāļļāļāļ āļēāļ.
- āļāļĢāļ§āļāļŠāļļāļāļ āļēāļāļāļĢāļ°āļāļģāļāļĩ.
- āļāļēāļĢāđāļāļīāļ.
- āđāļāļāļąāļŠ.
- āļāļēāļĢāļāļĢāļąāļāđāļāļīāļāđāļāļ·āļāļāļāļĢāļ°āļāļģāļāļĩ.
- āļāļēāļĢāļŠāļāļąāļāļŠāļāļļāļāļāđāļēāļāļĢāļāļāļāļĩāļ.
- āļāļĩāđāļāļąāļāļāļēāļĻāļąāļĒ.
- āļāļļāļāļāļāļąāļāļāļēāļ.
- āļāļēāļĢāļāļąāļāļāļēāđāļĨāļ°āļŠāļ§āļąāļŠāļāļīāļāļēāļĢāļāļĢāļāļāļāļĢāļąāļ§.
- āļāļēāļĢāļāļķāļāļāļāļĢāļĄāđāļĨāļ°āļāļąāļāļāļēāļāļąāļāļĐāļ°.
- āļŠāļ§āļąāļŠāļāļīāļāļēāļĢāđāļāļ·āđāļāđāļāđāļāđāļēāļĒāđāļāļāđāļēāļāļŠāļļāļāļ āļēāļāđāļĨāļ°āļāļąāļāļāļēāļāļāđāļāļ (Flexi Benefit).
- āđāļāļāļēāļŠāđāļāļāļēāļĢāđāļāļāļđāļāļēāļāđāļāļāđāļēāļāļāļĢāļ°āđāļāļĻ.
- āđāļāļīāļāļāđāļ§āļĒāđāļŦāļĨāļ·āļāđāļĄāļ·āđāļāļāļĨāļāļāļāļļāļāļĢ / āđāļāđāļāļāļēāļ / āļāļēāļāļĻāļ.
- āļŠāļīāļāļāļīāļĨāļēāđāļāđāļāļ·āļāļāđāļāļīāļ 1 āļ§āļąāļ.
- āļāļļāļāļāļēāļĢāļĻāļķāļāļĐāļēāļŠāļģāļŦāļĢāļąāļāļāļļāļāļĢāđāļĢāļĩāļĒāļāļāļĩ.
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..
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].
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
āđāļĄāđāļāļģāđāļāđāļāļāđāļāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļ
āļāļąāļāļĐāļ°:
English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ30,000 - āļŋ42,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Important] As an SES (System Engineering Service) engineer, you will be assigned to work on-site at a client company (a Japan-affiliated system integrator).
- Understanding customer business objectives and translating them into technical solutions.
- Implement the new network configuration and parameters received from the design team by configuring them on the actual devices.
- Read and interpret parameter sheets, create configuration, install operations, and prepare related documentation such as operation plans, time schedules, and work reports.
- Work Location: Mainly in Our CUSTOMER Office (Bangkok - BTS Pholenchit Station).
- Work Time: Monday - Friday: 8.30-17.30 *depend on our CUSTOMER schedule.
- Thai nationality only.
- Daily conversation level for both written and spoken English.
- Foundation/Associate degree or above in Computer Engineering, Computer Sciences or related field.
- Experience 3 years or more in IT infrastructure networking (Implement, Design).
- Experience with configuring and install network devices such as Cisco, Fortinet, Yamaha, and Aruba products. *not inculde design.
- Strong understanding and practical knowledge of TCP/IP, OSPF, BGP, VLAN, STP, and other essential network protocols.
- Able to do on-site support and travel up-country.
- Able to deal with difficult situation and working under time constraints.
- Passionate in learning new technology.
- Good team player.
- Service minded with excellent communication and coordination skills, positive attitude, proactive and willing to learn with multi-tasking 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.
- 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.
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..
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°āļŠāļāļāļēāļĢāļāđ:
āđāļĄāđāļāļģāđāļāđāļāļāđāļāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļ
āļāļąāļāļĐāļ°:
English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ15,000 - āļŋ30,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļāļēāļĢāļ§āļīāļāļąāļĒāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļąāļāļāļĢāļ°āļŠāļāļāļēāļĢāļāđ (āđāļāđāļ NPS / āļāļ§āļēāļĄāļāļķāļāļāļāđāļ / āļāļēāļĢāļ§āļąāļāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļđāđāđāļāđ āļŊāļĨāļŊ).
- āļāļēāļĢāđāļāļēāļ°āļĨāļķāļāļāļđāđāđāļāđ (āđāļāđāļ āļāļ§āļēāļĄāļāļīāļāļŦāļĨāļąāļāļāļāļāļāļĢāļ°āđāļ āļāļāļĨāļīāļāļ āļąāļāļāđ, āļāļ§āļēāļĄāļāđāļāļāļāļēāļĢāļāļāļāļāļđāđāđāļāđ, āļāļļāļāļĨāļīāļāļāļāļāļāļđāđāđāļāđ āļŊāļĨāļŊ).
- āļāļēāļĢāļ§āļīāļāļąāļĒāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļąāļāļāļēāļĢāđāļāļīāļāđāļ (āđāļāđāļ āļāļēāļĢāđāļĢāļĩāļĒāļāļāļ·āļāļāļđāđāļāļĩāđāđāļĨāļīāļāđāļāđ / āļāļēāļĢāļāđāļāļāļāļŠāļāļēāļāļāļēāļĢāļāđāđāļŦāļĄāđ / āļĨāļđāļāļāđāļēāđāļāđāļēāļŦāļĄāļēāļĒ / āđāļŠāđāļāļāļēāļāļāļļāļĢāļāļīāļāđāļŦāļĄāđ āļŊāļĨāļŊ).
- āļāļēāļĢāļ§āļīāļāļąāļĒāđāļāļĢāļāļāđ āļŊāļĨāļŊ.
- āļĄāļĩāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāļāļīāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļāļīāļāļĨāļķāļ āđāļāđāļēāđāļāđāļāļ·āđāļāļŦāļēāđāļāļŠāļēāļāļēāļ§āļīāļāļēāļāļĩāļāļāļĒāđāļēāļāļāđāļāļāđāļāđ āļĄāļĩāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāļāļĩāđāđāļāđāļāđāļāļĢāđāļāđāļāļāļēāļĢāđāļāđāļāļąāļāļŦāļēāļāļĩāđāļāļąāļāļāđāļāļ, āļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāļāļīāļāđāļāļīāļāđāļāļĢāļāļŠāļĢāđāļēāļ āđāļĨāļ°āļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđ.
- āļāđāļāļŠāļĢāļļāļāļāļēāļāļāļēāļĢāļ§āļīāļāļąāļĒāļŠāļēāļĄāļēāļĢāļāđāļŦāđāļāļēāļĢāļŠāļāļąāļāļŠāļāļļāļāļāđāļāļĄāļđāļĨāļāļĩāđāļĄāļĩāļĨāļąāļāļĐāļāļ°āđāļāļīāļāļāļĨāļĒāļļāļāļāđāđāļĨāļ°āļĄāļāļāđāļāļāđāļēāļāļŦāļāđāļēāļŠāļģāļŦāļĢāļąāļāļāļēāļĢāļāļģāđāļāļīāļāļāļļāļĢāļāļīāļ āđāļĨāļ°āđāļŦāđāļāđāļāļĄāļđāļĨāļŠāļģāļŦāļĢāļąāļāļāļēāļĢāļāļąāļāļŠāļīāļāđāļāđāļĨāļ°āļāļīāļĻāļāļēāļāļāļēāļāļāļļāļĢāļāļīāļ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļēāļĢāļāļģāļāļēāļāļāđāļēāļāļāļēāļĢāļ§āļīāļāļąāļĒāļāļđāđāđāļāđāđāļāļāļļāļāļŠāļēāļŦāļāļĢāļĢāļĄāļāļīāļāđāļāļāļĢāđāđāļāđāļāļŦāļĢāļ·āļāđāļāļĄāļĄāļēāđāļĨāđāļ§ 2 āļāļĩāļāļķāđāļāđāļ āļāļļāđāļāđāļāļĒāļāļąāļāļ§āļīāļāļĩāļāļēāļĢāļ§āļīāļāļąāļĒāļāļđāđāđāļāđ / āļāļĨāļēāļ / āđāļāļĢāļāļāđāļāļļāļāļāļĢāļ°āđāļ āļ āļĄāļĩāļāļĢāļĢāļāļ°āļāļĩāđāļāļąāļāđāļāļ āļĄāļĩāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāđāļāļēāļ°āļĨāļķāļāļāļđāđāđāļāđāđāļĨāļ°āļāļēāļĢāļāļīāļāļāļĩāđāđāļāđāļāļĢāļ°āļāļāļāļĩāđāđāļāđāļāđāļāļĢāđāļ.
- āļĄāļĩāļāļ·āđāļāļāļēāļāļāļēāļĢāļ§āļīāļāļąāļĒāļāļĩāđāļĄāļąāđāļāļāļ āđāļĨāļ°āđāļāđāļĄāđāļāļāļĩāđāļāļ°āļāļĢāļąāļāļāļĢāļļāļāđāļĨāļ°āđāļāļīāđāļĄāļāļđāļāļ§āļīāļāļĩāļāļēāļĢāļāļĒāđāļēāļāļāđāļāđāļāļ·āđāļāļāđāļāļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļāļāļĢāļīāļ āļŠāļĢāđāļēāļāļĢāļ°āļāļāļ§āļīāļāļĩāļāļīāļāļāļāļāļāļāđāļāļ: āļāđāļāļāļāļēāļĢāđāļŦāđāļĄāļĩāļāļ§āļēāļĄāđāļāļĩāđāļĒāļ§āļāļēāļāđāļāļ§āļīāļāļĩāļāļēāļĢāļ§āļīāļāļąāļĒāđāļāļīāļāļāļļāļāļ āļēāļāđāļĨāļ°āđāļāļīāļāļāļĢāļīāļĄāļēāļāļāļļāļāļĢāļđāļāđāļāļ āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļĄāļēāļāļĄāļēāļĒāđāļāļāļēāļĢāļŠāļģāļĢāļ§āļāđāļāļāļēāļŠāļāļēāļāļāļļāļĢāļāļīāļ, NPS, āļāļēāļĢāđāļāļēāļ°āļĨāļķāļāļāļ§āļēāļĄāļāđāļāļāļāļēāļĢāļāļāļāļāļđāđāđāļāđ āļŊāļĨāļŊ.
- āļĢāļąāļāđāļāļĄ (āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāđāļĨāđāļāđāļāļĄ MMO 2 āđāļāļĄāļāļķāđāļāđāļ) āļĄāļĩāļāļ§āļēāļĄāļĨāļ°āđāļāļĩāļĒāļāļāđāļāļāļāđāļāļāļđāđāļāļ āļĄāļĩāļāļ§āļēāļĄāļāļĒāļēāļāļĢāļđāđāļāļĒāļēāļāđāļŦāđāļ āđāļĨāļ°āđāļāđāļĄāđāļāļāļĩāđāļāļ°āļāđāļēāļāļēāļĒāļāļąāļ§āđāļāļāļāļĒāđāļēāļāļāđāļāđāļāļ·āđāļāļ.
- āđāļāđāļāļāļāđāļāļĒ āļŦāļĢāļ·āļāļāļāļāļĩāļāļāļĩāđāļāļēāļĻāļąāļĒāļāļĒāļđāđāđāļāļāļĢāļ°āđāļāļĻāđāļāļĒāđāļāđāļāļĢāļ°āļĒāļ°āđāļ§āļĨāļēāļāļēāļ, āļ§āļļāļāļīāļāļēāļĢāļĻāļķāļāļĐāļēāļāļĢāļīāļāļāļēāļāļĢāļĩāļāļķāđāļāđāļ, āļŠāļēāļĄāļēāļĢāļāļŠāļ·āđāļāļŠāļēāļĢāļāđāļ§āļĒāļ āļēāļĐāļēāļāļĩāļāđāļāđ, āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļēāļĢāļ§āļīāļāļąāļĒāļāļđāđāđāļāđāđāļāļĄāđāļĨāļ°āļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļēāļĢāđāļāļĒāđāļāļĢāđāđāļāļĄāļāļ°āđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ.
- āļŠāļāļēāļāļāļĩāđāļāļģāļāļēāļ āļāļĢāļ°āļĢāļēāļĄ 9
- āđāļāđāļēāļāļēāļ āļ-āļĻ 09.00-18.00
- āđāļāļīāļāđāļāļ·āļāļ āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāļāļąāļāđāļāđ
- āļŠāļēāļĄāļēāļĢāļāļŠāđāļāđāļĢāļāļđāđāļĄāđāļĄāļēāđāļāđāļāļĩāđ [email protected] āļŦāļĢāļ·āļāđāļāļāļĩāđāđāļāđāđāļĨāļĒ.
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āļĒāļāļāļāļīāļĒāļĄ
āļĨāļāļāļāļģ 5 āļŠāļīāđāļāļāļĩāđāļŦāļĨāļąāļāđāļĨāļīāļāļāļēāļ āļāļĩāļ§āļīāļāļāļļāļāļāļ°āđāļāļĨāļĩāđāļĒāļāđāļāļāļĨāļāļāļāļēāļĨ
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āļāļģāđāļāļ°āļāļģāļāļēāļĢāļŦāļēāļāļēāļāđāļāļīāļāđāļāļĨāļŠāļļāļāļĒāļāļ 50 āļāļĢāļīāļĐāļąāļāļāļĩāđāļāļāļĢāļļāđāļāđāļŦāļĄāđāļāļĒāļēāļāļĢāđāļ§āļĄāļāļēāļāļāđāļ§āļĒāļĄāļēāļāļāļĩāđāļŠāļļāļ 2025
āļāđāļēāļ§āļŠāļēāļĢāđāļŦāļĄāđāđ
