To be part of the Strategic Sourcing team supporting Corporate Real Estate Workforce Category specializing in Refurbishment, Renovation and Construction, providing innovative approaches to procurement execution.
As the Project Buyer, you will have a chance to impact the procurement process. Working with other members of the team, you’ll support issuance of Request for Proposal (RFP)’s, evaluate and negotiate proposals and develop Expediting strategies.
Responsible for sourcing, negotiating pricing, purchasing and reviewing all project deliverables and services from vendors.
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Develop and apply AI/ML solutions to support supply chain planning, inventory optimisation, backlog intelligence, revenue management, and operational decision-making.
5+ years of experience in supply chain, operations, business analytics, digital transformation, automation, or AI/ML-related roles.
Master's degree in Computer Science, Math, Statistics, Data Science, Artificial Intelligence or a related field.
Over 7 years of experience in implementing machine learning solutions using Python, R, or similar languages, with extensive knowledge of various ML algorithms.
Strong expertise in Generative AI, including Large Language Models (LLMs), Knowledge Graphs, AI Agents, prompt engineering, model evaluation, and responsible AI.
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Build AI-powered applications, AI agents, and Copilot experiences using Large Language Models (LLMs) and modern AI technologies.
Design and optimize LLM-based solutions, including prompt engineering, tool/function calling, Retrieval-Augmented Generation (RAG), GraphRAG, and agentic workflows.
Design, develop, and integrate knowledge graph and graph database solutions (e.g., Neo4j, Cosmos DB) to model complex business relationships, enhance contextual understanding, and improve AI reasoning capabilities.
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Contribute to unified AI/ML capabilities by integrating classical ML models with Generative AI platforms (primarily AWS Bedrock) for applications in semiconductor manufacturing and risk analytics.
Support the development of anomaly detection and predictive maintenance systems using classical ML (XGBoost, Scikit-learn) on sensor and test data, including basic drift detection and model monitoring.
Assist in building and maintaining RAG pipelines and agentic workflows for tasks like automated manufacturing test plan generation, with focus on accuracy and hallucination reduction.
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Lead the design of server motherboards, accelerator cards, mezzanine cards, base boards, and evaluation platforms, from architecture and schematics through PCB implementation and production.
Translate system requirements into board architecture, component selection, placement, PCB design constraints, and validation requirements.
Partner with the ASIC/SoC team during early product definition to evaluate architecture options and system tradeoffs.
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Responsible for the SMT issues and internal/external quality feedback that related to SPI/AOI/AXI process. Troubleshoot the system, process, detection root causes and attain the corrective action to the issues.
To plan, create and ensure the necessary SPI/AOI/AXI programs and process documents are completed and updated in time for production.
Ensure that the respective area workstation, computer, and network system are well maintained in operation condition. Programs are regularly updated and back up.
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