Location: Chicago, US
Job Summary:
Job Duties and Scopes
- Design, implement, and optimize machine learning models for financial analytics and trading strategies.
- Collaborate with cross-functional 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 current with industry trends in AI, data science, and fintech.
Required Skills
- Proficiency in Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Strong experience with data pipeline tools (Airflow, Kafka) and cloud platforms (AWS, GCP, Azure).
- Expertise in big data technologies (e.g., Spark, Hadoop) and data governance practices.
Required Experiences
- Bachelor's/Master's in Computer Science, Data Science, or related field.
- 3+ years of experience in machine learning and data engineering.
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