Make mainstream AI coding tools (e.g., Cursor, Copilot, Claude Code) a core part of your daily workflow to improve development efficiency, and promote AI-enhanced development practices within the team.
Data security and governance: Handle client data in line with the firm's data security, client-data confidentiality and responsible AI requirements, and raise risks or issues promptly.
Data security and confidentiality: Apply access controls and handle client data in line with the firm's data security and client-data confidentiality requirements.
ML Pipeline Contribution: Package models in Docker; contribute to CI/CD scripts under guidance; run inference tests and support deployment validation in product development environments.
Drive equipment and test technology development projects by defining scope, reviewing designs, managing supplier collaboration, and ensuring successful buyoff and release processes.