About the job

As a Senior AI/ML Engineer, you will take ownership of building and scaling Kuku's next-generation AI/ML systems across Personalization, Recommendation, Monetization, Ads, Generative AI, Agentic AI, and Knowledge-based AI. You will solve high-impact problems across user, content, and business intelligence, building systems that directly influence engagement, content discovery, retention, and revenue.

This role provides an chance to work across Machine Learning, Deep Learning, LLMs, multimodal AI, recommendation systems, predictive modeling, embeddings, knowledge systems, and agentic workflows, while owning ML systems from problem definition to production and measurable business impact.

Responsibilities

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Machine Learning & Deep Learning: Design, build, and productionise ML/DL models for prediction, classification, ranking, forecasting, embeddings, and other product/business problems.

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Personalization & Recommendation: Design and scale recommendation, retrieval, ranking, re-ranking, and personalization systems serving millions of users.

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Monetization:



Build ML models and decision systems for subscription conversion, churn, LTV, pricing, coin usage, engagement, and revenue optimization.

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Ads & Marketing: Build ML systems for user targeting, campaign optimization, attribution, audience segmentation, and marketing ROI.

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GenAI & Agentic AI: Design and build LLM-powered applications and agentic workflows for content understanding, generation, analysis, automation, and decision-making.

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Knowledge-based AI: Build RAG, semantic search, knowledge bases, knowledge graphs, and embedding-based retrieval systems over Kuku's content and business data.

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Content & Multimodal AI: Develop systems to understand text, audio, video, and images, including content embeddings, metadata extraction, and multimodal understanding.

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ML Architecture & Execution: Own the architecture and execution of ML systems end-to-end, including data pipelines, experimentat

📌 Senior AI/ML Engineer (Bengaluru)
🏢 Kuku FM
📍 Bengaluru