Location: Chicago, Illinois, US
Job Summary:
Job Duties:
- Build, deploy, and maintain machine learning models for financial analytics.
- Explore generative AI opportunities for process automation.
- Collaborate with teams to integrate ML models into production.
- Develop and manage large data pipelines.
- Ensure data architecture and ML model performance.
- Implement model governance and risk mitigation best practices.
- Perform model validation and retraining.
- Stay updated on AI, data science, and fintech trends.
Required Skills (Keywords):
- Machine learning
- Data engineering
- Python
- SQL
- ML frameworks (TensorFlow, PyTorch, Scikit-learn)
- Data pipeline tools (Airflow, Kafka)
- Cloud platforms (AWS, GCP, Azure)
- Big data technologies (Spark, Hadoop)
Required Experiences (Topics):
- Bachelor's/Master's in Computer Science/Data Science
- 3+ years in machine learning and data engineering
- Futures trading or fintech systems knowledge
- Generative AI or LLMs deployment experience (plus)
Job URLs: