Location: Chicago, US
Job Summary:
Job Duties and Scope:
- Build and deploy machine learning models for financial analytics.
- Collaborate with cross-functional teams for production integration.
- Develop and manage data pipelines for structured and unstructured 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 and fintech.
Required Skills:
- Proficiency in Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Experience with data pipeline tools (Airflow, Kafka) and cloud platforms (AWS, GCP, Azure).
- Familiarity with big data technologies (Spark, Hadoop) and data governance.
Required Experience:
- Bachelor's/Master's in Computer Science, Data Science, or related field.
- 3+ years of experience in machine learning and data engineering.
Job URLs: