Data-Driven Problem Solving: Utilize data analysis skills, statistical tools, and Six Sigma methodologies to investigate test data, troubleshoot manufacturing bottlenecks, and optimize reliability.
Front-End & Back-End Integration: Participate in web application development, seamlessly integrating AI capabilities (API / LLM services) into business systems to deliver intuitive user experiences.
Own the technical architecture end to end, including model and platform selection, agent orchestration, evaluation, security and integration with Lenovo systems.
DATA PREPARATION & MODELING: Transform raw data into high-quality datasets. Perform feature engineering, model selection, training, validation and hyperparameter tuning.
Assist in developing AI solution architectures, HLD/LLD, data-flow designs, sizing, BoM, costing, implementation roadmaps and proposals for RFI/RFP/tenders.
Architect the Azure AI ecosystem across Azure AI Foundry, Azure Machine Learning, Azure AI Search, Microsoft Fabric, integration services, identity and monitoring capabilities.