<p><p><b>Description :</b></p><p><p><b><br/></b></p>1) Building customer centric products with human centered design principles for retail Individual and micro, small and medium enterprise (MSME) customer segments.<br/><br/></p><p>2) Build innovative products and propositions backed with problem solving mindset to discover and solve latent needs of customers.<br/><br/>3) Build Embedded Finance (Banking as a Service) applications.<br/><br/>4) Ensure designs are highly available, highly modular, highly scalable and highly secure and Drive digital business .<br/><br/><b>Education : </b>Masters or Undergraduate in Computer : </b>6 - 8 years of overall industry experience, with at least 3 - 4 years in Machine Learning <b>(ML)/MLOps</b>, or Business Rule Engine (BRE) implementation.<br/><br/><b>Technical Expertise : </b><br/><br/>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.<br/><br/>2) Programming & Data Tools : Proficient in Python, PySpark, NumPy, Pandas, SQL, and Linux.
Good to have Koalas, Dask.<br/><br/>3) Cloud & Big Data : Hands-on experience with Azure cloud services including Azure Databricks, Spark, Data Warehousing, and pipeline orchestration.<br/><br/></p><p>4) CI/CD & DevOps : Skilled in Azure DevOps for CI/CD pipeline setup and management, including automated model deployment.<br/><br/>5) API Development : Experience with FastAPI/Flask for building scalable ML models APIs.<br/><br/>6) Exposure to <b>credit risk modeling</b> and financial services is a strong plus.</p><br/></p> (ref:hirist.tech)