Building Scalable Machine Learning Systems

19 hours ago


Gulbarga, Karnataka, India beBeeMachineLearningEngineer Full time ₹ 99,99,000 - ₹ 1,99,99,999
Machine Learning Engineer

About the Role:

We are seeking a highly skilled Machine Learning Engineer to join our team. As a key member of our organization, you will play a crucial role in ensuring the scalability of our machine learning products and credit risk policies within pre-approved/pre-qualified campaigns and live digital journeys.

This entails ensuring that our APIs operate smoothly at scale, identifying ways to simplify and reduce customer journey risks. We are looking for someone with an entrepreneurial mindset, cloud-based tools/packaging for automation and encryption, and expertise in APIs.

  • The ideal candidate will have 6–8 years of overall industry experience, with at least 3–4 years in Machine Learning (ML)/MLOps or Business Rule Engine (BRE) implementation.
  • They will be proficient in Python, PySpark, NumPy, Pandas, SQL, and Linux, with good knowledge of Koalas and Dask.

The successful candidate will be part of our ML Engineering Team within Digital Banking Unit and work in a fast-paced environment where new ideas are encouraged. This involves liaising with teams across Digital and the bank, including data engineers, data scientists, product managers, and senior business and credit risk stakeholders.

Key Skills and Qualifications:

Technical Expertise:

  • End-to-end ML/MLOps system design, including model/BRE implementation, debugging, and production maintenance.
  • Cloud and Big Data: Hands-on experience with Azure cloud services, including Azure Databricks, Spark, Data Warehousing, and pipeline orchestration.
  • API Development: Experience with FastAPI/Flask for building scalable ML models APIs.

Domain Knowledge:

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

Soft Skills:

  • Excellent communication and stakeholder management.
  • Strong project management and cross-functional collaboration abilities.

About Our Organization:

We aim to build customer-centric products using human-centered design principles for retail individual and micro, small, and medium enterprise (MSME) customer segments. We also focus on building innovative products and propositions backed by problem-solving mindsets to discover and solve latent customer needs.



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