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Tier-1 brand increases interest, but senior, specialized ML requirements reduce overall applicant density.
Advanced ML and media localization expertise somewhat restricts transferability across industries.
Explicit 8+ years, production ML expertise, and leadership expectations create stringent shortlisting filters.
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Own end-to-end design and delivery of production-grade generative AI media processing systems for language localization (closed captioning, translation, dubbing).
Lead data science experimentation including experiment design, success metrics definition, model iteration, and production transition.
Establish and operate production evaluation frameworks for model quality, drift detection, inference performance, and system metrics; mentor and lead applied data scientists and ML engineers.
8+ years experience building production-grade machine learning solutions.
Experience designing ML-driven, large-scale distributed systems serving large customer bases.
Practical knowledge of modern machine learning lifecycle and platforms.
Work Experience Required: 8+ years (explicitly mentioned).
Deep hands-on expertise in applied machine learning with focus on media intelligence and localization use cases.
Experience in Computer Vision, ASR, Translation, or Text-to-Speech technologies preferred.
Ability to lead and mentor teams, set technical direction, and collaborate technically across partners and global teams.