Back
Strong employer brand, metro location, and senior but specialized ML role create moderate candidate competition.
Domain-specific ML expertise in ASR, CV, translation and GenAI makes candidate backgrounds less transferable.
Explicit 8+ years, specialized ML/GenAI skills, publications/patents, and leadership expectations raise filter strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design and deliver production-grade Gen AI based media processing systems for language localization, including Closed Captioning, Language translation, and Dubbing.
Lead experimentation through designing experiments, defining success metrics, iterating model improvements, and deploying scalable production ML pipelines.
Lead and mentor a team of applied data scientists and machine learning engineers, setting technical direction and delivery standards.
8+ years experience building production-grade machine learning solutions.
Experience designing large-scale distributed machine learning systems with large customer bases.
3+ years hands-on experience in Computer Vision, ASR, Translation, or Text-to-Speech technologies.
Preferred: PhD or Master's degree in CS, CE, ML, or related field.
Deep expertise in applied machine learning and statistical evaluation methodologies within media intelligence or localization domains.
Experienced in leading and mentoring data science teams with focus on scalable ML system delivery.
Track record of innovation demonstrated by patents or publications in top-tier peer-reviewed conferences or journals.