Lead Python Engineer - AI Technology at WorldQuant

Department: Technology DivisionEducation: education_required

Language

Location: Central Hungary
Type: Full-time
Level: lead/mgmt
Posted: Oct 20, 2025

Description

WorldQuant is hiring a Python Lead Engineer to lead a small team developing complex data pipelines, AI/ML systems, and software solutions. The role combines technical leadership with hands-on development, including mentoring junior engineers, conducting code reviews, and driving architectural decisions. Candidates need a master's degree or higher in a relevant technical field, at least seven years of Python development experience focused on data engineering and AI/ML systems, and expertise in Python, data processing libraries, scalable pipelines, cloud platforms, containerization, version control, CI/CD, and agile methodologies.

Required Skills

Python
Data engineering
AI/ML systems
Pandas
NumPy
PySpark
AWS
Docker
Kubernetes
Git
CI/CD
PyTorch
scikit-learn

Additional Information

Minimum Education: Master's degree or higher in Computer Science, Engineering, or a related technical field from a top-tier institution
Required Previous Experiences: 7+ years of experience as a Python developer focused on data engineering and AI/ML systems
Expert-level Python knowledge and experience with Pandas, NumPy, and PySpark
Experience designing and implementing scalable data pipelines
Experience with cloud platforms and containerization technologies
Experience with Git, CI/CD, and agile methodologies
Experience mentoring junior engineers and fostering collaboration
Preferred Qualifications: Experience with AI and large language models
Finance industry experience
Experience with PyTorch, scikit-learn, LLMs, agents, or systems of agents
Translation Company Name: WorldQuant

About WorldQuant

WorldQuant

quantitative asset managementOld Greenwich, CT501-1000

WorldQuant is a global quantitative asset management firm founded in 2007 by Igor Tulchinsky and has more than 1,100 employees spread among 28 global offices.