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Lead design, development, and productionisation of ML models and MLOps pipelines (training, deployment, monitoring, retraining). Deliver AI use cases (CLV, churn, fraud), ensure model governance, explainability (eg. SHAP), collaborate with Data Engineering and stakeholders, and mentor team members to drive measurable business impact.

Design, implement, and optimize AI-driven workflows, develop AI agents, monitor systems, and determine automation opportunities in a fast-paced environment.

The AI Automation Engineer will design and implement AI-driven workflows, optimizing business processes and deploying AI solutions across the organization. Responsibilities include partner collaboration, automation design, AI model evaluation, and documentation creation.

Lead and grow Tickmill’s partnerships in the Chinese market by building and managing a BDM team, recruiting and retaining IBs/affiliates/institutional partners, executing regional partnership strategy, collaborating cross-functionally, meeting revenue and net deposit targets, and ensuring compliance while improving partner experience and driving commercial growth.

Develop, support and integrate backend .NET services; write automated unit tests and perform code reviews; troubleshoot integration issues and fix bugs; collaborate with internal/external teams; maintain code quality and automation; stay current with technology trends.