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Known global brand, metro Bengaluru, mid-level generalist ML role with broad skillset increases applicant competition.
Strong ML/AI skill requirements make the role transferable across industries, though media domain experience is helpful.
Explicit 5–9 years, required ML/LLM, MLOps and strong Python experience enforce strict shortlisting.
Lead development and deployment of classical and advanced AI/ML models to extract audience insights from complex media data.
Perform comprehensive data preprocessing, feature engineering, exploratory data analysis, and rigorous model evaluation to optimize performance.
Collaborate with cross-functional teams including MLOps and software engineering for production integration, and mentor junior data scientists.
5 to 9 years of hands-on AI/ML model development and deployment experience.
Bachelor's, Master's, or PhD in Computer Science, Artificial Intelligence, Machine Learning, or related quantitative field.
Expert proficiency in Python and associated data science libraries (Scikit-learn, Pandas, NumPy etc.).
Experience with Multi Modal Large Language Models, developing simple UIs (Streamlit, Gradio, Flask/Django), and knowledge of MLOps tools (Docker, Kubernetes, MLflow).
Experienced in classical ML and deep learning techniques including CNNs, LSTMs, Transformers and real-world production ML pipelines.
Strong software engineering background with version control (Git), testing, CI/CD and full stack development experience in one technology stack.
Able to lead technical projects, mentor teams, and communicate complex AI/ML concepts effectively to diverse stakeholders.