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4 weeks ago
Overview: The AI Globalization (G11n) Project Manager – PC ensures AI-driven PC products are effectively adapted for global markets. You will lead cross-functional teams to globalize machine learning models, multilingual PC interfaces, and AI-powered desktop features, ensuring cultural, linguistic, and regulatory readiness across regions. Contract Duration: 12 Months (Potential 12-Month Extension Based on Performance)Client: Renowned Multinational Telecommunications Company (to be disclosed during interview)Key ResponsibilitiesDevelop and manage project plans for PC-focused AI globalization initiatives, including timelines, resources, and risk assessments. Lead collaboration between PC engineering teams, UX, PMs, Language Specislists, to ensure culturally accurate and compliant AI experiences. Coordinate internationalization of AI workflows such as multilingual model adaptation, data curation, and bias mitigation. Integrate AI tools into PC localization workflows, enabling automated quality checks and system-to-system integrations. Track progress across regions, delivering updates to leadership on budgets, KPIs, and deliverables. Mentor teams on AI globalization best practices and support continuous improvement of PC-focused G11n processes. Document localization workflows and processes to ensure clarity and scalability across global operationsStrong organizational and time management skillsRequired QualificationsBachelor’s degree in Computer Science, or related field; Master’s preferred. 5+ years of project management experience, including 3+ in globalization/localization or AI/ML projects. Proven track record managing medium-to-large PC or software product programs. Excellent communication, cross-functional collaboration, and problem-solving abilities in global environments. Interest in working in a global/localization-focused environmentRequired Tech Stack: Project Tools: Jira, Asana, Confluence, Gerrit, SmartsheetMobile Platforms: iOS/Android build workflows, mobile content systemsAI/ML: TensorFlow Mobile, Core ML, multilingual training data toolsMethods: Agile/Scrum, mobile-specific localization standardsSystems: PC software development pipelines and integration tools
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