remote
Applied AI Engineer - Derivative Path
AI Engineer
Apply advanced machine learning models on cloud platforms to optimize risk management and hedging strategies for financial institutions, leveraging Python, AWS, and data engineering techniques.
About the role
Key Responsibilities
- Design, develop, and deploy machine learning models that predict and mitigate interest rate, FX, and commodity risks.
- Collaborate with data scientists and product teams to translate business requirements into scalable AI solutions.
- Implement end‑to‑end data pipelines on AWS, ensuring data quality, security, and compliance with financial regulations.
- Optimize model performance and cost efficiency in a cloud environment, utilizing services such as SageMaker, Lambda, and S3.
- Document model logic, performance metrics, and deployment procedures for audit and regulatory purposes.
Requirements
- 3+ years of experience building production‑grade ML models in Python.
- Proficiency with AWS services (SageMaker, Lambda, S3, EC2) and cloud architecture best practices.
- Strong background in data engineering, ETL pipelines, and SQL.
- Experience with financial risk modeling and regulatory compliance is a plus.
- Excellent communication skills and ability to work cross‑functionally in a fast‑paced environment.
Skills
pythonmachine learningaws