Design and implement scalable, secure cloud solutions; translate stakeholder requirements into architectures; lead development teams and technical projects; build POCs; establish technical standards and documentation; evaluate emerging technologies and present demos to external clients.

Lead end-to-end delivery of complex technology projects across client engagements, liaise between engineering and business stakeholders, define scope and timelines, manage risks and Agile ceremonies, produce project documentation and dashboards, and mentor team members to ensure on-time, on-budget delivery.

The Machine Learning Engineer will design, build, and deploy ML models for data-driven products, collaborating with teams to optimize pipelines and improve performance.

Lead cross-functional teams in delivering complex technology projects, ensuring alignment between engineering and business stakeholders, while managing project scope, risks, and timelines.