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Experience:

6 years required

Skills:

Financial Reporting, Product Development, Project Management, Industrial Design, Problem Solving

Job type:

Full-time

Req ID: 134186 Remote Position: No Region: Asia Country: Thailand State/Province: Chonburi City: Laem Chabang General Overview Functional Area: Engineering Career Stream: Design Engineering Mechanical SAP Short Name: SLE-ENG-DME Job Level: Level 09 IC/MGR: Individual Contributor Direct/Indirect Indicator: Indirect Summary The Senior Lead Engineer, Mechanical Design develops new mechanical systems/modules and maintains existing designs. Research mechanical concepts and create system solutions using 3D modeling and simulation software. Complete calculations and test, validate, and qu ...

Skills:

Analytical Thinking, Product Development, Architecture, Recruitment, Javascript

Job type:

Full-time

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the sa ...

Experience:

6 years required

Skills:

Product Development, Financial Reporting, Project Management, Industrial Design, Problem Solving, Negotiation, Accounting, SAP

Job type:

Full-time

• Remote Position: No.
• Region: Asia.
• Country: Thailand.
• State/Province: Chonburi.
• City: Laem Chabang.
• General Overview.
• Functional Area: Engineering.
• Career Stream: Design Engineering Mechanical.
• SAP Short Name: SLE-ENG-DME.
• Job Level: Level 09.
• IC/MGR: Individual Contributor.
• Direct/Indirect Indicator: Indirect.
• Summary.
• The Senior Lead Engineer, Mechanical Design develops new mechanical systems/modules and maintains existing designs. Research mechanical concepts and create system solutions using 3D modeling and simulation software. Complete calculations and test, validate, and qualify their systems and make adjustments as needed. Provide support throughout the manufacturing process of the mechanical system that they have designed.
• The Senior Lead Engineer, Mechanical Design works with cross functional teams of other engineers, customers, supply chain and project leadership to ensure robust and high quality product development. Enhance designs with feedback from reviews in areas such as manufacturing, test, supply chain, reliability, industrial design and simulations.
• Detailed Description.
• Lead the design, development and implementation of technical solutions in multiple domains. Participate in project planning and scheduling.
• Provide technical leadership and direction to a team of engineers. May be a recognised expert (go to person) in one or more technical areas.
• Review, interpret and may negotiate customer requirements/specifications and provide customer feedback.
• Lead the deployment of strategic programs and coordinate site-wide deployment efforts.
• Proactively promote industry best practices.
• May manage relationships with key vendors/partners.
• Prepare calculations on the proposed solution before completing technical drawings.
• Create designs in line with company procedure, regulations and client standards.
• Submit drawings to management, engineering teams and customers for review.
• Use customer feedback and data to upgrade, improve or repair the company's existing machines.
• Provide support during the manufacturing process.
• Finalize designs and send prints to the production department.
• Knowledge/Skills/Competencies.
• Project Management - Ability to manage/lead complex, multiple line engineering projects that may also involve other functions. Demonstrate solid understanding of the technical, financial and people aspects of the project. Able to create a project/change management plan and ensure that the project is delivered within the assigned time and budget. Ability to recognize project barriers and develop mitigation plans.
• Leadership - Demonstrate "People & Team Leadership Behaviors" as per Celestica Leadership Imperatives.
• Financial Acumen / Business Planning - Ability to create financial plans for your projects, align them internally with your line of management and other functions and externally if needed. Create project plans, profitability calculations, risk and sensitivity analysis, able to recognize barriers and mitigate profitability risks. Fully knowledgeable about internal and external financial reporting, accounting and tax requirements relevant to your area of expertise.
• The following competencies may also be required: Coaching/Mentoring; Communication/Negotiation/Presentation; Creative Problem Solving; Customer Interaction/Stakeholder Management; Quality & Lean; Working Effectively with Others; D/PFMEA; 8D/Corrective Action; Equipment Safety; Design of Experiments (DOE).
• This is also requirement for manager level. I capture from Global job description.

Experience:

5 years required

Skills:

Leadership Skill

Job type:

Full-time

• Team Leadership & Development.
• Recruit, lead, and develop the Business Analytics team.
• Set clear goals, conduct performance reviews, and build individual development plans for each team member.
• Create a culture of curiosity, data literacy, and continuous improvement within the team.
• Mentor team members in coding, AI, and data engineering best practices.
• Analytics Strategy & Architecture.
• Define and own the Business Analytics roadmap aligned with the NCC Strategy.
• Design NCC's end-to-end data architecture: ingestion, storage, transformation, and delivery.
• Evaluate and adopt best-in-class tools and platforms for data warehousing, BI, and AI analytics.
• Establish data governance standards: data quality, lineage, cataloging, and access control.
• AI & RAG System Development.
• Lead the design and implementation of AI-powered analytics solutions using LLMs and RAG pipelines.
• Build and maintain organizational knowledge bases using vector databases and embedding models.
• Develop RAG-based Q&A systems that allow business users to query NCC data in natural language.
• Integrate LLM APIs (OpenAI, Azure OpenAI, Anthropic Claude) into internal analytics workflows.
• Define AI governance policies including responsible use, output validation, and privacy safeguards.
• Data Engineering & Coding.
• Architect and oversee production-grade ETL/ELT pipelines using Python, SQL, and cloud platforms.
• Review and approve code written by the team; enforce coding standards, testing, and documentation.
• Build reusable data models, APIs, and automated reporting pipelines that scale with NCC's growth.
• Ensure all analytics systems are version-controlled, tested, and deployed through CI/CD workflows.
• Business Intelligence & Insights Delivery.
• Own the development of executive dashboards and KPI frameworks across NCC's departments.
• Translate ambiguous business questions into structured analytical problems and clear deliverables.
• Present data-driven insights and recommendations to senior leadership and department heads.
• Partner with ITD Digital & Application and IT Operations teams to integrate analytics into products.
• Stakeholder Management.
• Act as the primary analytics partner for department heads, finance, operations, HR, and marketing.
• Facilitate data literacy workshops and training for non-technical business users across QSNCC.
• Define SLAs for analytics requests and manage expectations with business stakeholders.
• Represent Business Analytics in ITD steering committees and executive reviews.
• Education.
• Bachelor's degree (required) in Computer Science, Data Science, Statistics, Information Technology, or a related field.
• Master's degree in Data Science, Artificial Intelligence, Business Analytics, or MBA (optional).
• Relevant certifications: Microsoft Azure Data Engineer, AWS ML Specialty, Google Professional Data Engineer, or equivalent (preferred).
• Experience.
• Minimum 3-5 years of hands-on experience in data analytics, data engineering, or a related field.
• Minimum 1 years in a team lead, senior, or management role overseeing analytical or technical staff.
• Demonstrated experience building and deploying AI/ML or LLM-based solutions in a production environment.
• Proven track record designing and operating RAG pipelines with vector databases at scale.
• Experience working in hospitality, venue management, events is advantageous.
• Coding & Engineering.
• Advanced Python programming: pandas, numpy, FastAPI, asyncio, pytest confirmed through portfolio or technical assessment.
• Advanced SQL across multiple dialects (MySQL, PostgreSQL, MSSQL) including query optimization and database design.
• Experience with cloud data platforms: Azure Synapse, Databricks, AWS Redshift, or Google BigQuery.
• Working knowledge of JavaScript or TypeScript for API and lightweight front-end data integrations.
• Strong Git discipline: branching, pull requests, code reviews, and CI/CD pipelines for data products.
• AI & Machine Learning.
• Hands-on experience integrating LLM APIs into business workflows (OpenAI, Azure OpenAI, Gemini, Anthropic Claude).
• Experience with machine learning model development: classification, regression, forecasting using scikit-learn or similar.
• Prompt engineering expertise: designing, testing, and iterating prompts for consistent and reliable outputs.
• Familiarity with model evaluation metrics, A/B testing for AI features, and production model monitoring.
• RAG & Knowledge Systems (Required).
• Demonstrated experience building Retrieval-Augmented Generation (RAG) pipelines end-to-end.
• Practical knowledge of vector databases: Pinecone, Weaviate, ChromaDB, Qdrant, or pgvector.
• Experience with embedding models (OpenAI Ada, HuggingFace Sentence Transformers) and similarity search.
• Proficiency with orchestration frameworks: LangChain, LlamaIndex, or equivalent.
• Ability to design chunking strategies, document ingestion pipelines, and retrieval evaluation using RAGAS or similar frameworks.
• Understanding of hybrid search (dense + sparse retrieval), re-ranking, and context window management.
• Human Resources Department.
• N.C.C. Management & Development Co., Ltd.
• 60 Queen Sirikit National Convention Center,Ratchadaphisek Road, Khlong Toei Sub-district,.
• Khlong Toei District, Bangkok.
• Website: www.qsncc.com.