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Tier-1 employer, Bangalore metro, and broad ML/engineering requirements drive high competition.
Strong production ML requirements with advertising domain preference make cross-industry fit moderately sensitive.
Explicit seven-year large-scale ML requirement and specialized production/MLOps stack make filtering highly strict.
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Lead design and development of machine learning prediction and optimization engines for addressable advertising platforms.
Drive innovation by applying state-of-the-art AI/ML technologies to enhance advertising effectiveness across Disney online properties including Hulu and ESPN+.
Collaborate cross-functionally with engineering and product teams and mentor other engineers while owning scalable algorithm architecture and continuous model optimization.
MS or PhD in Computer Science or equivalent experience.
At least 7 years of experience in large scale machine learning at leading internet companies; advertising domain experience preferred.
Proficiency in Java, Python, Scala, and large scale ML/DL platforms and data processing technologies.
Location: Bangalore, India (onsite requirement implicit from job posting).
Experienced in designing and implementing advanced machine learning algorithms specifically for advertising technology or digital marketing contexts.
Ability to lead end-to-end development of scalable ML solutions including architecture design, production rollout, and ongoing optimization.
Comfortable operating in a fast-paced, data-driven, collaborative environment with a focus on practical innovation in ad serving and campaign management.