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AI G11n Project Manager – Smartphone & Tablet

TransPerfect

5 - 10 years

Bengaluru

Posted: 21/12/2025

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Job Description

Overview: The AI Globalization (G11n) Project Manager Smartphone & Tablet leads localization and internationalization of AI-driven mobile features, including on-device ML models, predictive text, camera AI, voice assistants, and multilingual mobile UX. You will ensure smartphone and tablet AI experiences scale effectively across languages and regions.


Contract Duration: 12 Months (Potential 12-Month Extension Based on Performance)

Client: Renowned Multinational Telecommunications Company (to be disclosed during interview)


Key Responsibilities

  • Manage AI globalization project plans for mobile products across iOS and Android platforms.
  • Collaborate with mobile SW engineering, UX, PMs, Language Specialists to ensure culturally accurate and compliant AI experiences.
  • Coordinate internationalization workflows such as multilingual model training, content adaptation, and bias checks.
  • Report status, KPIs, budget updates, and risks to leadership across multiple time zones.
  • Mentor teams on mobile AI globalization practices and process improvements.
  • Document localization workflows and processes to ensure clarity and scalability across global operations
  • Strong organizational and time management skills

Required Qualifications

  • Bachelors degree in Computer Science, Business Administration, or related field; Masters preferred.
  • 5+ years of project management experience, in mobile globalization, localization, or AI/ML projects.
  • Strong understanding of iOS/Android development workflows and mobile AI ecosystems.
  • Excellent communication, problem-solving mindset, stakeholder management, and cross-team collaboration skills.
  • Interest in working in a global/localization-focused environment

Required Tech Stack:

  • Project Tools: Jira, Asana, Confluence, Gerrit, Smartsheet
  • Mobile Platforms: iOS/Android build workflows, mobile content systems
  • AI/ML: TensorFlow Mobile, Core ML, multilingual training data tools
  • Methods: Agile/Scrum, mobile-specific localization standards

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