Data Scientist - Machine Learning

Role & responsibilities

• Develop, train, and deploy Machine Learning and Deep Learning models.
• Perform data preprocessing, feature engineering, feature selection, and hyperparameter tuning.
• Build and optimize end-to-end ML pipelines.
• Integrate ML models into applications using Python APIs (FastAPI/Flask).
• Work with large datasets using Python and SQL.
• Evaluate, monitor, and improve model performance in production.
• Collaborate with cross-functional teams to integrate AI solutions.
• Contribute to GenAI/LLM-based projects where applicable.

Preferred candidate profile

• Strong proficiency in Python and SQL.
• Experience with Machine Learning algorithms including Regression, Classification, Clustering, Random Forest, XGBoost, and LightGBM.
• Hands-on experience with Scikit-learn, Pandas, and NumPy.
• Good understanding of model evaluation, feature engineering, and hyperparameter tuning.
• Experience building and deploying production-grade ML solutions.
• Basic knowledge of TensorFlow or PyTorch is a plus.