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Mid-level, metro-based hybrid ML-procurement role with some niche requirements yields moderate competition density.
Requires specific procurement domain expertise plus ML skills, making cross-industry transferability limited.
Explicit 5+ years, mandatory procurement domain experience and technical stack create high filtering strictness.
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Lead design, development, and deployment of AI and machine learning models specific to procurement functions (e.g., demand forecasting, spend analytics, contract analysis).
Own end-to-end procurement AI use cases: from problem identification, data modelling, algorithm creation, to business solution deployment and integration.
Drive procurement data management, model operationalisation, stakeholder collaboration, and continuous innovation in AI-driven procurement analytics.
Bachelor’s degree in business, Supply Chain, Procurement, Risk Management or related field (or equivalent experience).
Minimum 5+ years of experience in procurement, supply chain, or related domain.
Proficiency in Python (Pandas, NumPy, Scikit-learn), SQL, and experience deploying ML models to production.
Strong understanding of procurement processes (source-to-pay, category management, supplier management).
Experienced in bridging procurement expertise with hands-on data science and AI model development in enterprise settings.
Capable of managing complex projects involving cross-functional stakeholders, with ability to translate business needs into analytical solutions.
Comfortable working in matrix/global organizations and operating both strategically and operationally with strong program governance skills.