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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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.
Collaborate with process stakeholders to analyze business requirements and translate them into scalable digital solutions and automated workflows
Design, develop, and continuously enhance web-based applications to support process optimization and digital transformation initiatives
Partner closely with cross-functional teams to define process flows, system specifications, and implementation strategies, ensuring alignment with business objectives
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