Responsibilities

Advanced ML and Deep Learning: Design, develop, and deploy end-to-end machine learning models for content recommendation engines, churn prediction, and customer lifetime value (CLV).
Generative AI Implementation: Prototype and integrate GenAI solutions (using LLMs like Gemini/GPT) for automated metadata tagging, script summarization, or AI-driven chatbots for viewer engagement.
Develop and maintain high-scale video processing pipelines using Python, OpenCV, and FFmpeg to automate scene detection, ad-break identification, and visual feature extraction for content enrichment.
Cloud Orchestration: Utilize GCP (Vertex AI, BigQuery, Dataflow) to build scalable data pipelines and manage the full ML lifecycle (MLOps).
Business Intelligence and Storytelling: Create high-impact, automated dashboards to track KPIs for data-driven decision-making.
Cross-functional Collaboration: Work closely with Product, Design, Engineering, Content, and Marketing teams to translate "viewership data" into "strategic growth.

Requirements

Experience in Media/OTT: Prior experience working with large-scale data from broadcast channels, videos, streaming platforms, or digital ad tech.
Education: Master's/Bachelor's degree in a quantitative field (computer science, statistics, mathematics, or data science).
Product Mindset: Ability to not just build a model but to understand the business implications of the solution.
Communication: Exceptional ability to explain "neural network outputs" to a "creative content producer" in simple terms.

This job was posted by Imran Khan from ZEE - Technology & Innovation.

ZEE - Technology & Innovation

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