
Senior Machine Learning Engineer Role
23 hours ago
- You will work on scaling of ML products and credit risk policy within pre-approved campaigns and live digital journeys.
- Ensure APIs operate smoothly at scale, identify ways to simplify customer journey.
- You will be part of the ML Engineering Team in Digital Banking.
- Work in a fast-paced environment with new ideas encouraged.
- Liaise with teams across the bank, including data engineers, scientists, product managers, and senior stakeholders.
- Masters or Undergraduate degree in Computer Science/Electrical/Civil/Mechanical.
- 6–8 years of overall industry experience, 3–4 years in Machine Learning (ML)/MLOps or Business Rule Engine (BRE) implementation.
- ML/MLOps System Design: End-to-end system architecture, model/BRE implementation, debugging, and production maintenance.
- Programming & Data Tools: Proficient in Python, PySpark, NumPy, Pandas, SQL, Linux.
- Cloud & Big Data: Hands-on experience with Azure cloud services, including Azure Databricks, Spark, Data Warehousing, pipeline orchestration.
- CI/CD & DevOps: Skilled in Azure DevOps for CI/CD pipeline setup and management.
- API Development: Experience with FastAPI/Flask for building scalable ML models APIs.
- Excellent communication and stakeholder management.
- Strong project management and cross-functional collaboration abilities.
- We build customer-centric products with human-centered design principles.
- Innovative products backed by problem-solving mindset.
- Embedded Finance applications.
- Digital business drive.
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