WorldQuant seeks an exceptional senior-level Python engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting-edge software solutions. The ideal candidate will possess deep expertise in Python development, data engineering, software architecture, and design principles.
Requirements
- Master's degree or higher in Computer Science, Engineering, or a related technical field from a top-tier institution.
- 7+ years of experience as a Python developer, with a strong focus on data engineering and AI/ML systems.
- Expert-level knowledge of Python and its ecosystem, including experience with data processing libraries like Pandas, NumPy, and PySpark.
- Proficiency in designing and implementing scalable, maintainable, and efficient data pipelines.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Expertise in version control systems (Git), CI/CD practices, and agile methodologies.
- Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
- Experience in the finance industry is a plus but not required.
- Experience with AI/ML frameworks such as PyTorch, or scikit-learn, LLM, agents or systems of agents is a significant plus.