Xsolla - Lead AI/ML Engineer

• Lead the development and implementation of AI/ML solutions to enhance our AdTech products' performance and user experience. • Collaborate with cross-functional teams including product managers, designers, data scientists, and other engineers to define project requirements and ensure successful outcomes aligned with business goals. • Conduct research on emerging AI/ML technologies relevant to our industry needs and evaluate their potential application within the company's products or services. • Develop, test, deploy, monitor, and optimize machine learning models for various AdTech use cases such as personalized recommendations, predictive analytics, customer segmentation, etc. • Maintain a comprehensive understanding of AI/ML best practices to ensure the ethical development and deployment of our solutions while adhering to industry standards and regulations. • Provide technical guidance on integrating new or updated machine learning models into existing systems without disrupting business operations, ensuring seamless user experiences across all channels. • Participate in code reviews, quality assurance processes, and testing cycles for AI/ML components to ensure robustness, scalability, performance efficiency, accuracy, reliability, security, etc., while maintaining compliance with our company's coding standards and policies. • Document the design decisions made during development of machine learning models along with their expected impact on business outcomes in a clear and concise manner for easy understanding by non-technical stakeholders. • Communicate regularly with internal teams, external partners, clients, or end users to gather feedback about our AI/ML solutions' performance, identify areas of improvement, address concerns promptly, and implement necessary changes based on user needs and business objectives. • Stay up-to-date with industry trends in AdTech related to artificial intelligence (AI) tools for recruitment processes such as reviewing applications or analyzing resumes by conducting research, attending conferences/seminars, reading relevant publications, etc., and evaluate their potential benefits and risks before integrating them into our hiring workflow. • Provide training sessions to internal teams on the latest AI tools for recruitment processes such as reviewing applications or analyzing resumes by developing customized learning materials based on team members' skill levels and knowledge gaps, deliver engaging presentations with practical examples, conduct hands-on exercises using real data sets, answer questions promptly to ensure everyone is comfortable working with these tools. • Monitor the performance of AI/ML solutions used in recruitment processes such as reviewing applications or analyzing resumes by setting up appropriate metrics and KPIs (e.g., accuracy rate, false positive rate), collect data regularly using automated scripts or APIs provided by third-party vendors if necessary, analyze the