Sr Machine Learning Engineer
About The Position
We are seeking a Senior Machine Learning Engineer to design, train, and deploy AI agents that support regulatory analytics, data governance, and audit automation related to ECB Asset Quality Review (AQR) and BCBS 239 risk data aggregation and reporting principles. This role sits at the intersection of machine learning, financial risk, regulatory compliance, and data governance. The successful candidate will build intelligent agents capable of interpreting regulatory requirements, validating risk data, performing traceability analysis, and supporting supervisory reporting processes.
Requirements
- 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
- Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
- Several years of experience in designing, implementing, and deploying machine learning models.
Responsibilities
- Develop and optimize machine learning models for various applications.
- Preprocess and analyze large datasets to extract meaningful insights.
- Deploy ML solutions into production environments using appropriate tools and frameworks.
- Collaborate with cross-functional teams to integrate ML models into products and services.
- Monitor and evaluate the performance of deployed models.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
