Work alongside software engineers and data scientists to ensure that quantitative research models are effectively developed, tested, and deployed in production environments.
Responsibilities:
- Creation and maintenance of CI/CD pipelines for efficient deployment of ML models
- Data management - e.g. connect with data sources and create ETL pipelines, cleanse the data, create datasets for model retraining
Mandatory Skills Description:
- 5+ Years of Python
- Familiarity with relevant libraries, e.g. scikit-learn, TensorFlow, or PyTorch.
- Containerization (Docker / Kubernetes) and Cloud (AWS).
Nice-to-Have Skills Description:
- Experience in applying MLOps principles to financial domain.