Senior AI/ML Engineer

About the role

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.

What you'll do

• Machine Learning & Deep Learning : Design, build, and productionise ML/DL models for prediction, classification, ranking, forecasting, embeddings, and other product/business problems.
• Personalization & Recommendation : Design and scale recommendation, retrieval, ranking, re-ranking, and personalization systems serving millions of users.
• Monetization : Build ML models and decision systems for subscription conversion, churn, LTV, pricing, coin usage, engagement, and revenue optimization.
• Ads & Marketing : Build ML systems for user targeting, campaign optimization, attribution, audience segmentation, and marketing ROI.
• GenAI & Agentic AI : Design and build LLM-powered applications and agentic workflows for content understanding, generation, analysis, automation, and decision-making.
• Knowledge-based AI : Build RAG, semantic search, knowledge bases, knowledge graphs, and embedding-based retrieval systems over Kuku's content and business data.
• Content & Multimodal AI : Develop systems to understand text, audio, video, and images, including content embeddings, metadata extraction, and multimodal understanding.
• ML Architecture & Execution : Own the architecture and execution of ML systems end-to-end, including data pipelines, experimentation, training, deployment, monitoring, and optimization.

Nice to have

• Education & Experience : Bachelor's or Master's in Computer Science, Machine Learning, Statistics, or a related engineering field, with 3+ years of relevant experience and a proven track record of building and deploying...
• ML/DL : Strong understanding of machine learning and deep learning with hands-on experience using PyTorch, TensorFlow, XGBoost, LightGBM, or equivalent.
• Personalization : Strong experience with recommendation systems, ranking, retrieval, embeddings, or user modeling is a strong plus.
• GenAI : Experience with LLMs, RAG, embeddings, prompt engineering, fine-tuning, or multimodal AI. Experience with agentic frameworks such as LangGraph/LangChain is desirable.
• Knowledge AI : Experience with semantic search, vector databases, knowledge graphs, or RAG systems is a plus.
• Monetization/Ads : Experience with churn, LTV, conversion, pricing, advertising, attribution, or growth ML is a plus.

About Kuku (Kuku TV)