Data Scientist/ML Engineer

4 days ago

Vijayawada, Andhra Pradesh, India Quant-data Full time

We're Hiring: Machine Learning Engineer / Data Engineer (Remote | Full-Time)

Build AI-powered credit decisioning systems on Microsoft Azure

We're looking for a Machine Learning Engineer / Data Engineer with 5+ years of experience to join our AI-driven credit lending platform team. In this role, you'll design and deploy scalable ML solutions that power loan origination, decisioning, and management systems. You'll work on end-to-end data pipelines, model development, and integration with leading banking and fintech systems hosted on Microsoft Azure.

Key Responsibilities:

  • 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 Basel III, GDPR, PDPA, and integrate model explainability (XAI).
  • Optimize workflows for scalability, performance, and cost efficiency on Azure Cloud.

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 (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.

Preferred Qualifications:

  • 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.

Work Location & Flexibility:

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

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