{"@context":"https://schema.org","@type":"JobPosting","title":"Data Scientist - Machine Learning","description":"

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.

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