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6 days ago
We are seeking a highly skilled Machine Learning Engineer/Data Scientist to join our AI-driven credit lending platform team. As a critical member of the team, you will be responsible for designing and deploying scalable ML solutions for loan origination, decisioning, and management systems.
- Develop end-to-end data pipelines, model development, and integration with leading banking and fintech systems hosted on Microsoft Azure.
- Collaborate with analysts and product owners to translate business rules into ML/AI-driven logic.
Key Responsibilities:
- Design and develop credit scoring and risk assessment models (classification, regression, alternative data models).
- Implement model monitoring, retraining frameworks, and governance workflows.
- Build scalable ETL/ELT pipelines on Microsoft Azure for structured and semi-structured financial/telco data.
Required Skills & Experience:
- 5+ years of professional experience in Machine Learning, Data Engineering, or related fields.
- Strong programming skills in Python, PySpark, SQL with experience in ML frameworks.
- Proficiency in Azure ML, Azure Data Factory, Databricks, Synapse, Cosmos DB.
- Familiarity with MLOps best practices (CI/CD, monitoring, retraining pipelines).
- Strong understanding of data governance, security, and compliance in financial services.
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