Data Scientist AI ML

Responsibilities

1. Develop and optimize machine learning models for structured and unstructured data.
2. Perform data preprocessing, feature engineering, and model evaluation.
3. Implement NLP techniques, including entity extraction and text classification.
4. Collaborate with engineering teams to integrate models into production systems.

Qualifications

1. Strong proficiency in Python and ML libraries (Scikit-learn, TensorFlow, PyTorch).
2. Experience with NLP, transformers, and retrieval-based approaches.
3. Knowledge of graph databases and data modeling.
4. Familiarity with cloud platforms (GCP/AWS/Azure) and ML pipeline tools.
5. Strong understanding of data governance and compliance standards.