Senior AI/ML Data Scientist I (P3)
Nielsen (company site, opens in a new tab)5–9 yrsBengaluruHybridDirect career pageEst. 20–35 LPA
Posted 2h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead design, development, training, and validation of classical machine learning models to solve business problems related to audience measurement.
- Perform data preprocessing, feature engineering, and exploratory data analysis to improve model performance and insights.
- Collaborate with MLOps/DevOps teams for model deployment and monitoring; document and communicate results to technical and non-technical stakeholders.
Minimum Requirements
- 5 to 9 years of hands-on experience in developing and deploying AI/ML models.
- Bachelor's, Master's, or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or related quantitative field.
- Proficiency in Python with experience in key ML libraries (Scikit-learn, Pandas, NumPy, Matplotlib).
- Experience with Multi Modal Large Language Models (LLMs) and MLOps tools (Docker, Kubernetes, Kubeflow, MLflow).
Ideal Candidate Profile
- Demonstrated ability to handle complex, large-scale datasets and implement classical ML and deep learning architectures (CNNs, LSTMs, Transformers).
- Experience integrating data science with software engineering practices including version control, testing, CI/CD, and developing simple model interaction UIs.
- Strong collaboration skills to work cross-functionally with data engineers, product managers, business analysts, and mentoring junior data scientists.