Artificial Intelligence and Machine Learning Expert

5 days ago

Vellore, Tamil Nadu, India beBeeMachineLearningEngineer Full time ₹ 1,80,00,000 - ₹ 2,15,00,000
Machine Learning Engineer/Data Engineer Job Summary

We are seeking a highly skilled Machine Learning Engineer/Data Engineer 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.

Key Responsibilities:
  • Design, develop, and deploy credit scoring and risk assessment models using classification, regression, and alternative data models.
  • Create 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 Loan Origination Systems (LOS), Loan Management Systems (LMS), and external systems.
  • Collaborate with analysts and product owners to translate business rules into ML/AI-driven logic.
  • Ensure compliance with regulatory requirements such as Basel III, GDPR, and PDPA, and integrate model explainability techniques.
  • Optimize workflows for scalability, performance, and cost efficiency on Azure Cloud.
Required Skills & Qualifications:

The ideal candidate will have:

  • 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 such as scikit-learn, TensorFlow, and PyTorch.
  • Proficiency in Azure Machine Learning, Azure Data Factory, Databricks, Synapse, Cosmos DB, and equivalent cloud tools.
  • Hands-on experience with credit risk modeling, fraud detection, or financial ML models.
  • Knowledge of API design and integration, including REST and GraphQL.
  • Familiarity with MLOps best practices, including Continuous Integration/Continuous Deployment (CI/CD) pipelines.
  • Strong understanding of data governance, security, and compliance in financial services.
Preferred Qualifications:

Prior experience working with banks, fintechs, or telcos in credit/lending solutions is an added advantage. Knowledge of explainable AI (XAI) techniques and exposure to big data tools such as Hadoop, Spark, Kafka, and Trino/Presto are also beneficial. A Bachelor's, Master's, or PhD in Computer Science, Data Science, or related fields is preferred.

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