Credit Risk Modeling Specialist"

1 day ago

Nashik, Maharashtra, India beBeeMachine Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Artificial Intelligence Engineer Position

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Our organization is seeking a highly skilled Machine Learning Engineer/Data Scientist to join our AI-driven credit lending platform team.

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The ideal candidate will have 5+ years of experience in designing and deploying scalable ML solutions that power loan origination, decisioning, and management systems. They will work on end-to-end data pipelines, model development, and integration with leading banking and fintech systems hosted on Microsoft Azure.

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Key Responsibilities:

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  • Design, develop, and deploy credit scoring and risk assessment models (classification, regression, alternative data models).">
  • Build scalable ETL/ELT pipelines on Microsoft Azure for structured and semi-structured financial/telco data.">
  • Implement model monitoring, retraining frameworks, and governance workflows.">
  • Develop APIs and microservices for seamless integration with LOS, LMS, and external systems.">
  • Collaborate with analysts and product owners to translate business rules into ML/AI-driven logic.">
  • Ensure compliance with industry regulations and integrate model explainability (XAI).">
  • Optimize workflows for scalability, performance, and cost efficiency on Azure Cloud.">
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Required Skills & Experience:

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  • 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 (scikit-learn, TensorFlow, PyTorch).">
  • Proficiency in Azure ML, Azure Data Factory, Databricks, Synapse, Cosmos DB (or equivalent cloud tools).">
  • Hands-on experience with credit risk modeling, fraud detection, or financial ML models.">
  • Knowledge of API design and integration (REST/GraphQL).">
  • 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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Preferred Qualifications:

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  • Prior experience with banks, fintechs, or telcos in credit/lending solutions.">
  • Knowledge of explainable AI (XAI) techniques.">
  • Exposure to big data tools (Hadoop, Spark, Kafka, Trino/Presto).">
  • Bachelor's/Master's/PhD in Computer Science, Data Science, or related fields.">
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Work Location & Flexibility:

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  • Remote-friendly role with flexibility to work from anywhere.">
  • Opportunity to relocate onsite based on project and business needs.">

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