data engineering , System Design, cloud solutions, big data platforms, data platforms, data AI ML, Analytics, programming Python, data lakes, ML techniques, ETL processes, ETL pipelines

Prince2, Data Analytics, Agile or hybrid delivery environments, AI ML concepts, Pmp, Project management, Data platforms, Data lifecycle management, AI technologies, Analytics tools

Technical Documentation, Data Management, Apis, Data Quality, entitlements, AI ML enablement, Lineage, Governance, Access controls, Data AI platforms, Analytics enablement, Integration patterns

pruning , Tensorflow, Pytorch, Pandas, Python, quantisation, model optimisation techniques, knowledge distillation, MLOps tools and practices, AI ML modelling

Sql, Gcp, Databricks, Azure, Python, AWS, AI principles, Generative AI, AI governance frameworks, cloud platforms, MLOps practices, Agentic AI, model risk management, data privacy regulations, AI ML frameworks

Semiconductor Equipment Front-End, Cross-Functional Coordination, Engineering, Data Analysis, Technical Solutions Support

adoption , Data Management, Apis, Data Quality, Technical Documentation, entitlements, lineage, access controls, platform concepts, integration patterns, analytics enablement, data flows, Governance, AI ML enablement

Sql, Gcp, Databricks, Azure, Python, AWS, Generative AI, AI principles, cloud platforms, MLOps practices, Agentic AI, model risk management, data privacy regulations, AI ML frameworks

Power Bi, Data Governance, Analytics Solutions, Microsoft Purview, data pipelines, Ai, semantic models, Copilot, Microsoft Fabric