about 7 hours ago
Responsibilities
- Design state-of-the-art ML models for underwriting and portfolio management.
- Create systems to accelerate the deployment of new models.
- Experiment and iterate on ML models to meet business goals.
- Develop automated processes for training and evaluating models.
- Integrate ML models into production systems for scalability and reliability.
- Collaborate with product and strategy partners on new features.
- Stay updated on ML/AI developments and implement innovative solutions.
Requirements
- 5+ years of industry experience in building and shipping ML systems.
- Proficient with ML libraries such as PyTorch, TensorFlow, and XGBoost.
- Knowledge of various ML algorithms and model architectures.
- Hands-on experience in designing, training, and evaluating ML models.
- Experience in productionizing and deploying models at scale.
- Skilled in orchestrating complex data pipelines and leveraging large datasets.
- Experience collaborating with Data Science and Risk Management teams.
Tech Stack
Categories
AI & MLData Science