ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Product Development, Postgre SQL, Automation, Javascript, Kubernetes

ประเภทงาน:

งานประจำ

• Design, develop, and fine-tune Generative AI solutions using leading LLMs such as GPT-4o, Claude (Anthropic), Gemini, and open-source models (LLaMA, Mistral, etc.).
• Build and maintain End-to-End AI Chatbot systems from prompt engineering and LLM integration to deployment and monitoring.
• Develop production-grade RAG (Retrieval-Augmented Generation) Chatbot pipelines integrating vector search, document chunking, embedding models, and LLM inference.
• Implement and manage Vector Storage solutions using FAISS, Qdrant, Weaviate, Pinecone, or similar technologies for semantic search and knowledge retrieval.
• Design and deploy Agentic AI systems using frameworks such as LangGraph, AutoGen, CrewAI, or custom multi-agent orchestration workflows.
• Integrate AI capabilities with enterprise APIs, databases, and internal platforms via LangChain, LlamaIndex, or equivalent tooling.
• Stay current with rapidly evolving AI/ML tools including Hugging Face, Ollama, vLLM, OpenAI APIs, Vertex AI, AWS Bedrock, and Azure OpenAI Service.
• AI Product Development & MLOps.
• Own the end-to-end AI product lifecycle: requirements gathering, model selection, development, testing, deployment, and continuous improvement.
• Build and manage scalable AI inference pipelines with performance monitoring, logging, and cost optimization.
• Design prompt engineering strategies, evaluation frameworks, and guardrails for safe and reliable LLM outputs.
• Implement CI/CD workflows for AI models using MLflow, DVC, or similar MLOps tools.
• Collaborate with Data Science and Engineering teams to productionize machine learning and AI models.
• Identify opportunities to embed AI capabilities into business workflows, automation, and decision-making processes.
• Data Engineering & Platform (Foundational Awareness).
• Understand the fundamentals of data pipeline concepts (ETL/ELT, batch and streaming) to effectively collaborate with Data Engineering teams.
• Able to read, query, and work with data from common platforms such as Databricks, Snowflake, BigQuery, or PostgreSQL.
• Understand data flow from source systems to data warehouses/lakehouses to inform AI model inputs and outputs.
• Familiar with vector database concepts and embedding pipelines sufficient to configure and use them in AI projects.
• Capable of communicating data requirements clearly to Data Engineers when building AI features or knowledge bases.
• Collaboration & Innovation.
• Partner with product managers, business stakeholders, and engineers to translate business requirements into AI solutions.
• Contribute to and promote best practices for AI development, testing, documentation, and responsible AI usage.
• Mentor junior engineers and share knowledge on emerging AI tools, frameworks, and research.
• Evaluate and adopt new AI/ML technologies and frameworks to keep the team at the forefront of innovation.
• Effectively manage multiple priorities and deliver high-quality solutions independently and as part of a team.
• Bachelor's degree or higher in Computer Science, Computer Engineering, Information Technology, Artificial Intelligence, or a related field.
• 3+ years of hands-on experience in AI/ML engineering with a focus on Generative AI and NLP applications.
• Proven experience building Generative AI solutions using GPT-4o, Claude (Anthropic), Gemini, or equivalent LLMs this is a must.
• Hands-on experience with RAG Chatbot development: embedding pipelines, chunking strategies, retrieval tuning, and LLM response generation.
• Proficiency in Vector Storage technologies such as FAISS, Qdrant, Weaviate, Pinecone, or ChromaDB.
• Experience building End-to-End Chatbot systems including intent handling, context management, multi-turn dialogue, and API integration.
• Practical knowledge of Agentic AI frameworks (LangGraph, AutoGen, CrewAI, or similar) for building multi-step, tool-using AI agents.
• Strong Python programming skills Python (required), SQL, JavaScript/TypeScript (a plus).
• Familiarity with popular AI/ML tools and platforms: LangChain, LlamaIndex, Hugging Face, Ollama, vLLM, OpenAI SDK, Vertex AI, AWS Bedrock, or Azure OpenAI.
• Experience with prompt engineering techniques including few-shot prompting, chain-of-thought, structured output, and function calling.
• Ability to evaluate LLM outputs using metrics and frameworks (RAGAS, TruLens, or custom eval pipelines).
• AI Frameworks: LangChain, LlamaIndex, LangGraph, AutoGen, CrewAI, Hugging Face Transformers.
• LLM Platforms: OpenAI (GPT-4o), Anthropic Claude, Google Gemini, Meta LLaMA, Mistral.
• Vector Databases: FAISS, Qdrant, Weaviate, Pinecone, ChromaDB.
• Cloud & Data: AWS / GCP / Azure AI services, Databricks, Snowflake, PostgreSQL.
• MLOps: MLflow, DVC, Docker, Kubernetes (a plus).
• Big Data: Apache Spark, Kafka (a plus).
• Experience in Retail or E-Commerce AI applications (e.g., recommendation engines, pricing AI, conversational commerce).
• Familiarity with fine-tuning and PEFT techniques (LoRA, QLoRA) for LLMs.
• Knowledge in machine/statistical learning, computer vision, or time series forecasting.
• Experience with AI safety, hallucination mitigation, and responsible AI practices.
• Contributions to open-source AI projects or published AI research.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Leadership Skill, Power BI, Python, SQL

ประเภทงาน:

งานประจำ

• Examining operational metrics and performance data across the delivery network.
• Creating visual tracking systems and analytical reports for stakeholder review.
• Spotting patterns and efficiency gaps to recommend improvements.
• Delivering data-driven guidance to senior leadership.
• Measuring productivity, service standards, delivery speed, and expenditures.
• Assisting with demand forecasting and workforce planning.
• Collaborating with Operations teams on performance enhancements.
• Leading process optimization projects.
• Generating periodic performance summaries for executive presentations.
• Bachelor's degree in Business, Logistics, Supply Chain, Engineering, Statistics, or related discipline.
• Minimum 3 years in Operations, Logistics, Business Analytics, or Performance Management roles.
• Advanced proficiency in Microsoft Excel.
• Demonstrated expertise with Power BI, SQL, Python, or comparable analytics platforms.
• Capacity to convert sophisticated datasets into actionable business conclusions.
• Strong analytical and problem-solving capabilities.
• KPI development and management experience.
• Excellent communication and cross-departmental collaboration abilities.
• Proficiency handling competing demands in dynamic work settings.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Market Analysis, Negotiation

ประเภทงาน:

งานประจำ

• Formulate sourcing strategies aligned with Commercial Buyers to achieve category goals.
• Create SKU selection roadmaps using market insights and consumer preferences.
• Scout innovative sourcing origins and product concepts to diversify inventory.
• Market & Competitor Analysis.
• Benchmark market movements and competitor tactics using industry research platforms.
• Leverage consumer data to uncover sourcing gaps and growth prospects.
• Commercial Alignment & Cost Management.
• Gather and align on sourcing requirements from Commercial Teams.
• Manage COGS calculations, MOQ verification, and lead-time coordination.
• Negotiate volumes strategically to optimize costs and inventory levels.
• Product Development & Launch Readiness.
• Compile documentation and samples for the New Product Introduction Committee.
• Ensure offerings match market positioning and company objectives.
• Coordinate with QA, RA, SCM, Design, and Legal on compliance and quality.
• Performance Monitoring & Campaign Planning.
• Track sales, margin, and inventory metrics for sourced products.
• Partner with Commercial and Marketing teams on promotional initiatives.
• Bachelor's degree in Business, International Trade, Supply Chain, or similar.
• 5-7 years in e-commerce buying or global sourcing for FMCG/retail sectors.
• Fluent in English (both written and spoken).
• Proficiency with market research tools (Euromonitor, Nielsen).
• Strong negotiation and analytical capabilities.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Project Management, Power BI, Tableau, English, Thai

ประเภทงาน:

งานประจำ

• Oversee cross-functional process enhancement initiatives in supply chain and logistics.
• Execute Lean and Six Sigma programs targeting service, productivity, and cost efficiency.
• Create standardized procedures and best practices across the supply chain network.
• Establish and manage the Supply Chain Center of Excellence.
• Build KPI frameworks and performance dashboards.
• Manage project management governance for WMS/TMS deployments and network optimization.
• Collaborate with internal teams and external logistics partners.
• Lead organizational change management and skill-development initiatives.
• Bachelor's degree in Supply Chain, Engineering, or Business (MBA preferred).
• 10-15 years in Supply Chain, Logistics, Process Improvement, or Transformation roles.
• Demonstrated expertise in retail, FMCG, wholesale, or 3PL sectors.
• Track record with large-scale transformation programs.
• Lean/Six Sigma certification preferred.
• Proficiency in Excel, Power BI, Tableau, ERP, WMS, or TMS systems.
• Strong stakeholder management capabilities.
• Fluency in both Thai and English.

ประสบการณ์:

8 ปีขึ้นไป

ทักษะ:

Product Development, Market Research, Data Analysis, Negotiation, English

ประเภทงาน:

งานประจำ

• Conducts market research and analysis to identify products that can be developed and adopted as Makro's Commercial Non-Food Own Brand.
• Feeds back market information, competition information, projects, sales and profit results to line manager and branded team.
• Work with branded team to conduct assortment review and identify Own Brand NPD plan.
• Coordinates with concerned Associate Director, Senior Buyer and Buyers to identify existing shelf-products that are sellable and can generate desired sales and profits if developed and marketed as Makro's Commercial Non-Food Own Brand. Identifies suppliers who can co-develop these products.
• Launch new OB items on time and to targeted cost, to achieve Commercial Non-Food Own Brand new launch budget SKUs and sales.
• Cooperates and maintains good relationship with suppliers who are reliable in providing OB products. Monitors the performance of Commercial Non-Food Own Brand products, identify root causes of shortfall and plan actions to improve performance.
• Check and ensure branded buyer maintains information/ data bank for OB products by encoding in the computerized system all correct articles and suppliers' data.
• Ensures that products being developed match or better quality than branded benchmarks and priced lower than the benchmark according to brand positioning.
• Ensures that product quality and efficacy meet Makro and Thai FDA standards and customers' expectations, if necessary, to obtain certificate.
• Work with branded buyer to produce an effective Makro Mail Program, to achieve sales budget and profit targets. Gives all necessary information and documents (i.e. article, supplier, ordering, promotions) to the stores.
• Conducts market research and analysis to identify products that can be developed and adopted as Makro's Commercial Non-Food Own Brand.
• Feeds back market information, competition information, projects, sales and profit results to line manager and branded team.
• Coordinates with concerned Director, Sr. Buyer and Buyers to identify existing shelf-products that are sellable and can generate desired sales and profits if developed and marketed as Makro's Own Brand. Identifies suppliers who can co-develop these products.
• Launch new OB items on time and to targeted cost, to achieve Own Brand new launch budget SKUs and sales.
• Cooperates and maintains good relationship with suppliers who are reliable in providing OB products. Monitors the performance of Own Brand products, identify route causes of shortfall and plan actions to improve performance.
• Check and ensure branded buyer maintains information/ data bank for OB products by encoding in the computerized system all correct articles and suppliers data.
• Ensures that products being developed match or better quality than branded benchmarks and priced lower than the benchmark according to brand positioning.
• Work with branded buyer to produce an effective Makro Mail Program, to achieve sales budget and profit targets. Gives all necessary information and documents (i.e. article, supplier, ordering, promotions) to the stores.
• Makes regular store visits to detect operational problems and follows-up on product quality and presentation. Gives all the necessary information to the Commercial Director and concerned Sr Buyer and Buyers to which the own brand is categorized/ grouped.
• Travel, when necessary (i.e. to visit suppliers and producers).
• Commits to all agreements made with the suppliers (i.e. invoice control arrangements, price differences), all of which are subject to a written contract or confirmation.
• Makes regular store visits to detect operational problems and follows-up on product quality and presentation. Gives all the necessary information to the Commercial Director and concerned Sr Buyer and Buyers to which the own brand is categorized/ grouped.
• Travel, when necessary (i.e. to visit suppliers and producers).
• Commits to all agreements made with the suppliers (i.e. invoice control arrangements, price differences), all of which are subject to a written contract or confirmation.
• Performs any other tasks not specified herewith as required / instructed by superior / management.
• Bachelor's degree or higher in Business Administration, Marketing, Supply Chain, Industrial Distribution, or a related field.
• Minimum 5-8 years of experience in merchandising, category management, buying, or own-brand/private label development within retail, FMCG, or wholesale businesses.
• Proven experience in Own Brand / Private Label product development, including NPD planning, supplier collaboration, and product launch execution.
• Strong understanding of category management, assortment planning, pricing strategy, and sales & margin optimization.
• Demonstrated ability to analyze market trends, competitor benchmarks, and customer insights to identify commercially viable product opportunities.
• Experience working closely with suppliers, manufacturers, and internal stakeholders (Commercial, QA, Marketing, Sales Support).
• Solid knowledge of product quality standards, Thai FDA regulations, and certification processes; experience coordinating with QA teams is an advantage.
• Strong commercial acumen with the ability to manage cost structures, target pricing, and profitability objectives.
• Proven track record of managing multiple projects simultaneously and delivering product launches on time and within budget.
• Excellent analytical, decision-making, and problem-solving skills with a results-oriented mindset.
• Strong communication, negotiation, and influencing skills, capable of building productive relationships across all levels.
• High level of attention to detail, organizational skills, and data accuracy in system management.
• Ability to work independently and collaboratively in a fast-paced, cross-functional environment.
• Proficient in MS Office and merchandising or ERP systems; data analysis skills are a plus.
• Good command both of spoken and written English.