Tech Stack
NumpyPandasPythonPyTorchScikit-LearnSQL
About the role
- Lead advanced analytics efforts within our multi-agent system architecture.
- Develop and deploy machine learning models for pattern recognition and predictive analytics.
- Collaborate with engineering teams to integrate models into production systems.
- Work with graph databases and modern data pipeline technologies.
- Create automated analysis workflows that integrate with our LangGraph-based agent system.
Requirements
- Advanced Python proficiency with expertise in data science libraries (NumPy, Pandas, scikit-learn)
- Machine learning experience including model development, validation, and deployment
- Strong SQL skills for complex data analysis and manipulation
- Statistical analysis expertise with experience in hypothesis testing and experimental design
- Hands-on data science experience in production environments
- Strong problem-solving skills and ability to translate business needs into analytical solutions
- Advanced English for effective communication in international client meetings
- (Nice-to-have) Pytorch experience
- (Nice-to-have) Experience with multi-agent orchestration tools: (LangGraph / CrewAI / Agno / SmolAgents / AutoGen)
- (Nice-to-have) Letta, DSPy, Google ADK.