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3 days ago
We are seeking a highly skilled Machine Learning Engineer/Data Scientist to join our AI-driven credit lending platform team. In this role, you will design and deploy scalable ML solutions that power loan origination, decisioning, and management systems.
Job Description:As a Machine Learning Engineer/Data Scientist, you will be responsible for designing, developing, and deploying credit scoring and risk assessment models using classification, regression, and alternative data models. You will also build scalable ETL/ELT pipelines on Microsoft Azure for structured and semi-structured financial/telco data.
Key Responsibilities:- Design and develop credit scoring and risk assessment models using machine learning algorithms.
- Build and maintain scalable ETL/ELT pipelines for data integration and processing.
- Implement model monitoring and retraining frameworks to ensure accuracy and reliability.
- Collaborate with analysts and product owners to translate business requirements into actionable insights.
To be successful in this role, you must have a strong background in machine learning, data engineering, and programming languages such as Python, PySpark, and SQL. Additionally, experience with cloud-based platforms like Azure and proficiency in data governance and security practices are highly desirable.
Benefits:This is an excellent opportunity to work with a leading fintech company and contribute to the development of innovative AI-powered credit decisioning systems. We offer a competitive salary, comprehensive benefits package, and opportunities for professional growth and development.
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