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Global brand plus senior, hybrid role but niche ML specialization reduces general applicant competition.
Role requires deep production ML and ASR/CV/TTS expertise, so cross-industry transferability is low.
Explicit 8+ years requirement and production ML leadership make screening highly selective.
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Design and deliver production-grade Gen AI media processing systems for language localization including Closed Captioning, Translation, and Dubbing.
Lead data science experimentation including experiment design, success metrics, model iteration, and transition of models into scalable production ML pipelines.
Establish production evaluation frameworks for model quality, drift detection, and performance; mentor and lead a team of applied data scientists and ML engineers.
8+ years of experience building production-grade machine learning solutions.
Experience designing large-scale distributed ML systems for large customer bases.
Practical knowledge of modern machine learning lifecycle.
Work Experience Required: 8+ years in relevant ML roles.
Deep hands-on expertise in applied machine learning, statistical analysis, and evaluation methodologies focused on media intelligence and localization.
Experience with Gen AI applications specifically in Computer Vision, ASR, Translation, or Text-to-Speech technologies (3+ years preferred).
Ability to lead and grow technical teams with clear delivery standards and career development, collaborating across global teams and driving data-informed innovation.