1) Building customer centric products with human centered design principles for retail Individual and micro, small and medium enterprise (MSME) customer segments.

2) Build innovative products and propositions backed with problem solving mindset to discover and solve latent needs of customers.

3) Build Embedded Finance (Banking as a Service) applications.

4) Ensure designs are highly available, highly modular, highly scalable and highly secure and Drive digital business .

Education : Masters or Undergraduate in Computer Science/Electrical/Civil/Mechanical.

Experience : 6 - 8 years of overall industry experience, with at least 3 - 4 years in Machine Learning (ML)/MLOps, or Business Rule Engine (BRE) implementation.

Technical Expertise :

1) ML/MLOps System Design : Proven experience in end-to-end ML/MLOps system architecture including model/BRE implementation (batch/API/cloud), debugging, and production maintenance.

2) Programming & Data Tools : Proficient in Python, PySpark, NumPy, Pandas, SQL, and Linux. Good to have Koalas, Dask.

3) Cloud & Big Data : Hands-on experience with Azure cloud services including Azure Databricks, Spark, Data Warehousing, and pipeline orchestration.

4) CI/CD & DevOps : Skilled in Azure DevOps for CI/CD pipeline setup and management, including automated model deployment.

5) API Development : Experience with FastAPI/Flask for building scalable ML models APIs.

6) Exposure to credit risk modeling and financial services is a strong plus.