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Tier-1 brand, metro Bengaluru location, senior ML role and broad skill requirements amplify competition.
AdTech-focused ML production expertise and LLM experience require domain-specific backgrounds, limiting cross-industry transferability.
Explicit 7–10 years, advanced degree preference, and mandatory ML/production/AdTech skills enforce strict shortlisting.
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Lead development and deployment of predictive models including inventory forecasting, CTR/CVR predictors, demographic inference, leveraging advanced ML and GenAI techniques.
Drive application of LLMs and GenAI for contextual ad targeting and intelligent advertiser tools to enhance digital ad effectiveness across live sports and entertainment platforms.
Collaborate cross-functionally to translate business challenges into data science solutions, ensuring models meet strategic goals and measurable business outcomes.
7-10 years of data science/machine learning experience, preferably in AdTech or related industries.
Master's or PhD in Computer Science, Statistics, Mathematics, or related quantitative field.
Strong proficiency in Python, SQL, ML libraries (e.g., Pandas, Scikit-learn, TensorFlow, PyTorch) and experience deploying production ML models.
Location requirement: Onsite in Bangalore.
Experienced in building scalable ML models in advertising technology or e-commerce monetization contexts with focus on performance and revenue impact.
Comfortable working with big data technologies (Hadoop, Spark) and cloud platforms (AWS, Google Cloud) for data processing and model deployment.
Capable of integrating recent advances in large language models and generative AI into ad targeting and campaign optimization workflows.