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Strong employer brand and Bangalore metro increase candidate density despite senior ML specialization.
Core ML and LLM skills are transferable, but ad domain experience increases fit sensitivity.
Explicit 10+ years, mandatory large-scale ML experience and specific tech stack require rigid filters.
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Lead design and implementation of AI/ML and GenAI applications for ad platforms, focusing on scalable and efficient large-scale data analysis and model development.
Drive architecture and iteration of ad algorithms, from model training to production rollout and continuous optimization.
Collaborate across engineering, product, and program teams; mentor team members; and support on-call duties on rotation.
Bachelor's degree in Computer Science, Information Systems, or equivalent experience.
At least 10 years of experience in large-scale machine learning engineering.
Proficiency in Java, Python, Scala, and large-scale ML/DL platforms and related processing technologies.
Location: Bangalore, India (implied by job post); Notice period: Not explicitly mentioned in the JD.
Deep expertise with AI/ML and large-scale machine learning systems, including experience with LLMs and GenAI application development.
Strong background in ad tech or digital marketing domains with a passion for applying advanced research to business scenarios.
Experienced leader who can collaborate cross-functionally, lead technical projects, and mentor engineers effectively.