- Design, develop, and deploy machine learning models for credit risk assessment using Python and ML libraries such as scikit-learn, TensorFlow, or PyTorch.
- Collaborate with cross-functional teams to integrate ML solutions into existing systems and applications.
- Develop data pipelines to collect, clean, preprocess, and analyze large datasets for model training and evaluation.
- Monitor model performance and identify areas for improvement through continuous testing and optimization.
Job Requirements :
- 2-6 years of experience in developing ML models for credit risk assessment or related fields.
- Strong proficiency in programming languages such as Python and familiarity with popular ML libraries like scikit-learn or TensorFlow.
- Experience working with structured data sets and ability to design effective data pipelines using tools like Pandas or NumPy.
📌 ML Engineer (Bengaluru)
🏢 NEEMTREE INTERNET
📍 Bengaluru
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