Senior AI / ML Data Scientist II
Nielsen (company site, opens in a new tab)5–9 yrsBengaluruOn-siteDirect career pageEst. 20–35 LPA
Posted on 14 Sept
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Job description
Structured overview of role & requirements
About This Role
- 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.
Minimum Requirements
- 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).
Ideal Candidate Profile
- 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.