Machine Learning Engineer
Core
Develop, deploy, and maintain machine learning models for fintech applications including credit scoring, fraud detection, and time-series forecasting.
Role type
Machine Learning Engineer
Builds
Predictive models for credit risk, fraud detection, and default prediction
Domain
FinTech / Banking
Deliverable
production ML models
Required skills
Python, TensorFlow, PyTorch, scikit-learn, LSTM/RNN, SQL/PostgreSQL, AWS SageMaker, Docker, Kubeflow
Preferred skills
FinTech domain experience, model monitoring, explainability, cloud-based ML deployment
Technologies
TensorFlow, PyTorch, scikit-learn, AWS SageMaker, Docker, Kubeflow, SQL, PostgreSQL
Responsibilities
Design and deploy ML models for credit risk and fraud detection, develop time-series forecasting solutions, work with large datasets to extract insights, monitor model performance, implement MLOps practices
Seniority
Mid-level, hands-on IC
