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Strong Tier-1 brand and Bangalore metro raise applicant density, but specialized ML manager skills moderate competition.
Requires specialized ML/NLP/CV expertise and catalog domain plus management, limiting cross-industry transferability.
Explicit multiple experience thresholds and mandatory ML management skills make screening highly selective.
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Lead and manage a team of scientists to develop and deliver scientific solutions for music catalog quality detection, metadata enrichment, and content integrity.
Define strategic vision, roadmap, and clear goals for quality improvements and innovation in catalog intelligence with measurable impact.
Own foundational quality detection frameworks, metadata validation/correction technologies, and AI-driven solutions to identify and resolve catalog anomalies.
3+ years managing scientists or machine learning engineers.
6+ years of applied research experience in relevant fields.
Knowledge of ML, NLP, Information Retrieval, and Analytics.
3+ years programming experience in Java, C++, Python or related language.
Experienced in building and delivering complex ML, deep learning, and computer vision software systems to customers.
Strong leadership in managing high-performing scientists with broad technical understanding across ML and related scientific techniques.
Ability to balance short-term delivery with long-term innovation and to communicate effectively with cross-functional stakeholders.