ML Engineer

Roles and Responsibilities :

• 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 efficient data pipelines using tools like Pandas or NumPy.