Valor Equity Partners is looking to develop cutting edge machine learning models to derive proprietary investment insights and build software applications to augment the Firm’s investment decision making process.
Requirements
- Expertise in end-to-end machine learning operations: model deployment, monitoring, and retraining, supporting integration with production data pipelines and API services.
- Proficient with Python, especially machine learning libraries like NumPy, Pandas, Scikit-Learn, and PyTorch
- Proficient with SQL, including transactional (e.g., PostgreSQL) and analytical (e.g., BigQuery) databases
- Containerization (e.g., Kubernetes and Docker)
- Data processing (e.g., Prefect, Airflow, and dbt)
- Parallel processing (e.g., Ray, Dask, and Spark)
- Cloud infrastructure (e.g., Google Cloud Platform)
Responsibilities
- contribute directly to the development of high-impact products
- translate complex project requirements into actionable technical solutions
- build, deploy, monitor, and maintain those solutions in production
- drive the adoption of best practices
- ensure the highest level of rigor in everything we do
- Expertise in end-to-end machine learning operations: model deployment, monitoring, and retraining, supporting integration with production data pipelines and API services.
Other
- 5+ years of experience developing production-ready software systems
- Although not necessary, prior work experience in financial services is highly valued
- Humble, hard-working, and collaborative
