Location: Chicago, US
Job Summary:
1. Job Duties and Scopes:
- Build and deploy machine learning models for financial analytics and recommendations.
- Collaborate with teams to integrate ML models into production.
- Develop and manage data pipelines for structured and unstructured financial data.
- Ensure accuracy, scalability, and performance of data architectures and ML models.
- Implement best practices in model governance and risk mitigation.
- Stay updated on industry trends in AI, data science, and fintech.
2. Required Skills:
- Expertise in Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Experience with data pipeline tools (Airflow, Kafka) and cloud platforms (AWS, GCP, Azure).
- Proficiency in big data technologies (Spark, Hadoop) and data governance.
3. Required Experiences:
- Bachelor's/Master's in Computer Science, Data Science, or related field.
- 3+ years of experience in machine learning and data engineering.
Job URLs: