Machine Learning Engineering, Intern
Core
Design, train, and deploy scalable machine learning models for critical FinTech applications including credit risk assessment, fraud detection, and personalized financial recommendations.
Role type
Machine Learning Engineering Intern (Co-op)
Builds
Production ML systems for consumer finance
Domain
FinTech / Consumer Finance
Deliverable
production ML models
Required skills
Production ML system deployment, handling imbalanced datasets, traditional ML systems, deep learning architectures, reinforcement learning, architectural thinking for scaling ML systems
Preferred skills
Kaggle top rankings, NeurIPS challenges, open-source contributions
Technologies
PyTorch, LightGBM
Responsibilities
Design and deploy scalable ML models for credit risk and fraud detection; Architect ML pipelines for high-throughput data streams and low-latency inference; Automate experimentation and hyperparameter tuning using AI tools; Support full ML lifecycle including feature engineering, model evaluation, A/B testing, and drift monitoring; Experiment with advanced deep learning and reinforcement learning techniques.
Seniority
Intern / Co-op
