เงื่อนไขการค้นหา

ทักษะ:

AutoCAD

ประเภทงาน:

งานประจำ

What You Can Expect: Solution Development Work with internal teams to design Warehouse & Distribution Solutions aligned to our Core WS Products and solution templates inclusive of the careful application of technology and specific innovation tailored to the customers' needs. Understand, interpret, and map out customer operation workflow with the information obtained from the RFx package, customer meeting and/or site visits. Identify potential areas for optimization in customer operation workflow and propose improvements. Analyze customer's data in the RFQ/RFP package to recommend s ...

ทักษะ:

Power point, English

ประเภทงาน:

งานประจำ

What You Can Expect: Commercial perspective - Support commercial team in customer RFQ/RFP, tender, and bidding activities for domestic and cross-border transportation. - Design practical transportation solutions based on customer requirements, including route planning, fleet type, service model, lead time, subcontractor setup, TMS process, and operational feasibility. - Prepare transport cost models, rate benchmarking, make-or-buy analysis, margin simulation, and operational assumptions for customer proposals. - Develop and maintain a strong transportation vendor network to support ...

ทักษะ:

SAP, Purchasing, System Testing

ประเภทงาน:

งานประจำ

• Provide SAP Support in ME/MM Module. Focus on Master Data, Purchasing Process and Authorization.
• Resolve overall issue include performing analysis, recommend solution to resolve issues within the SAP ME/MM module.
• Work closely with end users to troubleshoot SAP ME/MM related issues, as well as to enhance existing SAP ME/MM functionality at the direction of the SAP ME/MM Functional Team Lead.
• Develop and maintain the configuration and functional design documents of SAP ME/MM module and support role-based profile changes, as required.
• Create documentations suitable for internal system control and end users which include functional and technical specification, Business Process Procedures, Quick Reference Guides and Training.
• Conducting Unit and System testing of SAP ME/MM functional enhancements and development objects.
• Assist in testing process to discover errors and issues in business processes, documentation, or user's lack of experience.
• Understanding of integration and relationship between SAP ME/MM Module and Other modules, especially as FI, RT.
• Other responsibilities as assigned by Functional Lead.
• At Least 3 years of experience as an SAP ME/MM functional supported.
• Participation in all phases of at least 1 full-lifecycle SAP implementation.
• Expertise in SAP ME/MM modules.
• Prior experience with S/4HANA.
• SAP Certification in relevant ME/MM area an added advantage.
• Fast learner and self-starter.
• Strong written and oral presentation skills.
• Service oriented, collaborative approach to internal customer and peer relationships.
• Excellent organization and time management skills; able to balance and prioritize multiple deliverables and projects simultaneously..
• Working Location: The Mall Head Office (Ramkhamhaeng) - Nearby Airport Rail Link Ramkhamhaeng Station.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Architecture, Leadership Skill, Python

ประเภทงาน:

งานประจำ

• Location of CP AXTRA (Head Office) 3-4 Days: https://share.google/V5Q7MuC44FS341Xhx.
• Location of CP AXTRA Lotus's (Nawamin Office) 1 day: https://maps.app.goo.gl/6cHYiNFfwE8EqrFU6.
• Working style.
• 4-5 Days at the office + work from anywhere.
• Accompany senior management on store visits on Saturdays (half-day or full-day, not every week.
• AI & Advanced Analytics Enablement.
• Lead the design, development, and deployment of enterprise AI, Machine Learning, and Generative AI solutions to support business transformation (e.g., pricing, promotion, automation, recommendation, demand forecasting, customer insights, and intelligent decision support).
• Build and manage scalable data pipelines supporting AI/ML model training, inference, feature engineering, Feature Store, RAG knowledge bases, and LLM applications.
• Develop reusable datasets, AI-ready data products, feature engineering pipelines, and semantic data models for AI Engineers, Data Scientists, and Business Analytics teams.
• Partner closely with AI Engineers to design, deploy, productionize, and scale AI/ML models, LLM applications, Agentic AI, AI Chatbots, Recommendation Systems, and Mobile AI applications.
• Design and maintain data ingestion pipelines for structured, semi-structured, and unstructured data from enterprise systems, APIs, databases, files, event streams, IoT devices, and third-party platforms.
• Develop scalable data pipelines supporting document ingestion, embedding generation, metadata management, vector indexing, and retrieval workflows for RAG applications.
• Identify opportunities to embed AI into business workflows and operational decision-making to improve efficiency, customer experience, and business value.
• Data Platform & Engineering Leadership.
• Own end-to-end enterprise data architecture from source systems to Data Lake, Lakehouse, Data Warehouse, Feature Store, Semantic Layer, and AI-serving layers.
• Design, develop, and optimize scalable ETL/ELT pipelines supporting batch, micro-batch, streaming, and near real-time data processing.
• Design and maintain workflow orchestration for enterprise data pipelines using Databricks Workflows, Apache Airflow, or equivalent orchestration frameworks.
• Develop enterprise-scale Big Data solutions using Apache Spark and distributed computing frameworks.
• Design scalable logical and physical data models while optimizing database architecture for performance, scalability, reliability, and cost efficiency.
• Ensure enterprise data quality, governance, lineage, metadata management, observability, security, and compliance across data platforms.
• Implement automated data validation, monitoring, logging, alerting, and observability to ensure production-grade data reliability.
• Optimize SQL queries, Spark workloads, partitioning strategies, storage formats, and compute resources for maximum performance and cost efficiency.
• Analyze complex technical issues, identify root causes, troubleshoot production problems, and recommend infrastructure and platform improvements.
• Select, evaluate, and integrate modern data engineering tools, cloud technologies, and AI platform frameworks to support evolving business needs.
• Continuously evaluate emerging technologies in Big Data, Lakehouse Architecture, Data Platform Engineering, Cloud Computing, and AI Platform Engineering.
• AI Platform & Infrastructure.
• Build and maintain enterprise AI data infrastructure supporting LLM, RAG, Agentic AI, AI Chatbots, Recommendation Engines, Intelligent Search, and Intelligent Automation platforms.
• Design and implement scalable AI data pipelines supporting batch, streaming, vector search, embedding pipelines, and Retrieval-Augmented Generation (RAG) architectures.
• Design scalable APIs, data services, and integration layers connecting AI applications with enterprise systems and digital platforms.
• Collaborate with AI Engineers to prepare high-quality datasets for LLM fine-tuning, prompt engineering, model evaluation, inference, and continuous model improvement.
• Support deployment and operationalization of AI products using DataOps, MLOps, CI/CD, containerization, and modern software engineering practices.
• Drive continuous improvements in platform scalability, availability, security, observability, resilience, and operational efficiency.
• Team Leadership & Capability Building.
• Lead, mentor, and develop a high-performing team of Data Engineers, AI Engineers, and Analytics professionals.
• Foster engineering excellence through best practices in architecture design, coding standards, testing, code reviews, deployment, technical documentation, and software engineering.
• Drive architecture reviews, technical design reviews, engineering governance, and platform standardization across the engineering organization.
• Define engineering standards, technical roadmaps, platform architecture, and technology strategy aligned with business objectives.
• Collaborate closely with Product Owners, Business Stakeholders, AI Engineers, Data Scientists, Solution Architects, Infrastructure, and DevOps teams.
• Provide hands-on technical leadership with a strong engineering mindset and willingness to troubleshoot complex production systems.
• Promote continuous learning, knowledge sharing, innovation, and adoption of emerging technologies across the engineering team.
• Bachelor's degree or higher in Computer Science, Computer Engineering, Information Technology, Artificial Intelligence, Data Engineering, Management Information Systems, or a related field.
• 6+ years.
• of experience in.
• Data Platform Engineering, Data Engineering, Big Data, or AI Platform development,.
• with experience leading engineering teams.
• Strong experience designing and implementing enterprise-scale Data Lake, Lakehouse, Data Warehouse, or Modern Data Platform architectures.
• Expert proficiency in SQL, Databricks SQL, PostgreSQL, database design, and query performance optimization.
• Strong programming skills in Python.
• Hands-on experience with Apache Spark, Databricks, Delta Lake, Spark SQL, Unity Catalog, and distributed data processing.
• Strong experience designing and developing scalable ETL/ELT pipelines and workflow orchestration.
• Experience with streaming technologies such as Spark Structured Streaming, Kafka, or equivalent.
• Experience building enterprise-scale data platforms supporting AI/ML, Advanced Analytics, and Generative AI applications.
• Experience with LLM, RAG, AI Chatbots, Agentic AI, Vector Databases, Embedding Pipelines, Feature Store, or Recommendation Systems is highly preferred.
• Experience integrating enterprise applications through REST APIs, event-driven architectures, and microservices.
• Strong understanding of Data Governance, Data Quality, Data Lineage, Metadata Management, Data Security, and Data Observability.
• Experience with Azure, AWS, or Google Cloud Platform is preferred.
• Experience with Git, Docker, Kubernetes, CI/CD, DataOps, MLOps, MLflow, or Infrastructure as Code is an advantage.
• Retail, Wholesale, or E-Commerce industry experience is highly preferred.
• Proven track record in delivering enterprise AI platforms, data platforms, or large-scale analytics solutions.
• Strong analytical thinking, problem-solving, communication, stakeholder management, and leadership skills.
• Passion for building scalable engineering platforms, mentoring teams, and delivering business impact through data and AI.
• CP AXTRA | Lotus's.
• CP AXTRA Public Company Limited.
• Nawamin Office: Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy.".

ประสบการณ์:

8 ปีขึ้นไป

ทักษะ:

Enthusiastic, English

ประเภทงาน:

งานประจำ

• Head of Security Advisory, is the managerial position that leads the team to continuously establish and enforce security baseline, security standard and security policy for the bank, to ensure that all stakeholders are continuously aware, prepared and having necessary security control in place for both existing and emerging technology component supporting the organization roadmap, organization security certification and regulatory security requirements.
• The unit also leads on security design, security assessment and approval of Data sha ...
• The unit lead on security assessment of the new Solution acquisition.
• Cybersecurity knowledge in Banking.
• Fast -Learner for new IT and security technology and practice.
• Comprehensive Security control & security organization assessment experience.
• Technology Security consultation skill.
• English skill / Security certification.
• We're committed to bringing passion and customer focus to the business.
• If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Risk Management, Data Analysis, Recruitment, Labor law, Thai

ประเภทงาน:

งานประจำ

• Strategic People Partnership.
• Work directly with leadership to translate BU strategy into a People game plan.
• Drive initiatives across organization design, workforce planning, capability building, and culture development.
• Partner with Corporate HR (People & Culture Team) to ensure alignment, support, and best practice.
• Talent Acquisition & Workforce Planning.
• Own hiring results by forecasting manpower needs and working closely with Corporate TA team.
• Ensure recruitment quality, and cultural fit to meet business growth demands.
• Performance & Capability Development.
• Track and monitor workforce performance through BU-level dashboards and analytics.
• Facilitate performance management cycles (goal setting, reviews, feedback, PIP processes).
• Culture & Engagement.
• Champion company culture while embedding LEARN Corporation's Core Values into daily ways of working.
• Design and support BU-level engagement activities that foster collaboration, belonging, and productivity.
• People Analytics & Risk Management.
• Maintain and interpret BU-level people dashboards.
• Proactively identify people risks and escalate to BU leadership and Corporate HR as needed.
• Operational HR & Compliance.
• Act as first responder for day-to-day employee issues, balancing problem-solving with compliance.
• Coordinate HR administration within the BU.
• Deploy and monitor central HR policies, ensuring compliance with labor law and company standards.
• Whayt You'll Bring.
• Bachelor's or Master's degree in Human Resources, Business Administration, or related field.
• 6 - 10 years of HR/People experience, with at least 3 years in a business partner or HR generalist role.
• Experience in business management, general management, consulting or exposure to strategic business operations is preferable.
• Proven track record in workforce planning, performance management, and culture-building initiatives.
• Strong analytical capability; ability to interpret data and turn insights into action.
• Excellent stakeholder management and communication skills.
• Growth mindset, solution-oriented, and able to balance strategic thinking with operational delivery.
• What You'll Get.
• Strategic exposure.
• Work side-by-side with BU Head and leadership team, directly influencing one of Learn Corp's flagship business units.
• Dual career leverage.
• Operate as part of management team while also reporting into Corporate People Director, gaining cross-company visibility and access to HR best practices.
• Shape the future of thousands of students by ensuring attracts, develops, and retains top educators and talent.
• Join a fast-moving EdTech group that values innovation, collaboration, and continuous improvement.
• The Company may use AI-assisted tools to support data analysis at certain stages of the recruitment process. The Human Resources team oversees the entire process and retains final decision-making authority to ensure an accurate and comprehensive assessment.
• Applicant data will not be used to train AI models and will only be accessible to authorized HR personnel and the relevant hiring managers or supervisors.
• By submitting your application for this position through the recruitment system, you acknowledge that you have read and understood this notice.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Mechanical Engineering, Chemical Engineering, Product Development, Project Management, Risk Management, Data Analysis, Enthusiastic, Assembly, SQL, English

ประเภทงาน:

งานประจำ

Level: Staff Engineer (Senior Technical Individual Contributor role; no direct reports.) About our group: Asia HDM team is responsible for end-to-end HGA mechanical integration, providing technical leadership in CTQ-focused evaluation, risk management, and close collaboration with Drive product HDM to identify and close design gaps, ensuring smooth qualification, factory handoff, and sustained product performance. About the role - you will: Act as mechanical Critical to Quality (CTQ) owner on cleaning related process changes and have ongoing monitoring plan, working with process ow ...