Highly Skilled Data Scientist and Machine Learning Engineer

2 weeks ago


Solapur, Maharashtra, India beBeeMachineLearning Full time ₹ 24,00,000 - ₹ 27,00,000
AI-Driven Credit Lending Platform - Data Scientist/Machine Learning Engineer",{p>Description:The AI-driven credit lending platform seeks a highly skilled Data Scientist/Machine Learning Engineer to lead the development of scalable, efficient, and secure machine learning solutions that power loan origination, decisioning, and management systems. The ideal candidate will have strong programming skills in Python, PySpark, SQL, and experience with ML frameworks, Azure ML, Azure Data Factory, Databricks, Synapse, Cosmos DB (or equivalent cloud tools). Additionally, they will possess hands-on experience with credit risk modeling, fraud detection, or financial ML models, as well as knowledge of API design and integration.

Key Responsibilities:

  • Design, develop, and deploy credit scoring and risk assessment models using classification, regression, and alternative data models.
  • Build and optimize end-to-end data pipelines on Microsoft Azure for structured and semi-structured financial/telco data.
  • Implement model monitoring, retraining frameworks, and governance workflows to ensure compliance with regulatory requirements and integrate model explainability.
  • Develop APIs and microservices for seamless integration with LOS, LMS, and external systems, leveraging MLOps best practices.

Required Skills & Experience:

  • 5+ years of professional experience in Machine Learning, Data Engineering, or related fields.
  • Strong proficiency in Azure Cloud services, including Azure ML, Azure Data Factory, Databricks, Synapse, and Cosmos DB.
  • Hands-on experience with big data tools and a solid understanding of data governance, security, and compliance in financial services.

Benefits:

  • Opportunity to work on cutting-edge AI-driven credit lending platform projects.
  • Remote-friendly role with flexibility to work from anywhere, with potential opportunity to relocate onsite based on project and business needs.

Preferred Qualifications:

  • Prior experience working with banks, fintechs, or telcos in credit/lending solutions.
  • Knowledge of explainable AI techniques and exposure to big data tools.


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