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

- Robust 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.

📌 Data Scientist - Machine Learning (Pune)
🏢 Talent Corner HR Services
📍 Pune