• Steward the end-to-end planning, execution, and delivery of the platform-deployed machine learning applications. • Act as the primary point of contact between the customers and ML engineers, translating technical requirements from different gaming-adjacent domains to Machine Learning. • Exhibit strong judgement in when to deploy off-the-shelf commercial solutions, customize open-source solutions, or initiate greenfield applied science research projects based on product needs.

• Provide technical leadership across active development projects. • Review solution designs, architectures, and implementation approaches to ensure quality, maintainability, and suitability. • Support developers in resolving complex technical challenges and delivery blockers. • Establish and uphold technical standards, governance, and development best practices. • Stay current with evolving AI development technologies and industry trends. • Guide developers on the effective and responsible use of AI-assisted development tools. • Ensure AI-generated outputs are appropriately reviewed, tested, and validated. • Apply AI tools within your own workflow to improve efficiency and scalability. • Ensure development work is structured into clear, manageable, and trackable tasks. • Review and refine task breakdowns to improve sequencing, clarity, and delivery efficiency. • Maintain visibility of progress through well-organized project tracking and reporting practices. • Support accurate planning and forecasting through effective task management. • Mentor and support developers across varying levels of experience. • Encourage technical growth through coaching, knowledge sharing, and constructive feedback. • Promote best-practice development approaches and continuous improvement. • Validate technical scope and feasibility during discovery and solution design activities. • Assess integration complexity, data readiness, and technical risks before project commencement. • Contribute to realistic effort estimates and solution recommendations. • Partner with Project Managers to support delivery planning, sequencing, and risk management. • Balance solution quality with project timelines and budget considerations. • Escalate technical risks and issues proactively. • Identify scope changes and support appropriate change management processes. • Provide technical insight to support successful project outcomes and client satisfaction.

• Design, develop, and maintain applications within the banking domain. • Collaborate closely with Business Analysts and QA Engineers in a self-organizing Agile (Scrum) team. • Ensure the security and reliability of developed solutions. • Create and maintain unit and automated tests. • Work with large-scale datasets of various structures. • Integrate applications with internal banking systems. • Optimize and enhance existing solutions to meet business and technical requirements.

• Join the team redefining how the world experiences design • Set the technical direction for all mobile development tooling • Lead the test automation framework • Design and evolve the mobile test automation framework for synthetic and integration testing • Set the CI/CD quality gating strategy • Consolidate what's fragmented across Native Infra, Cross Platform, and DevX • Define and publish mobile testing best practices and methodologies • Create company-wide triage workflows and monitoring for mobile development