
Machine Learning Innovation Lead
4 days ago
Machine Learning Leader
About the Role:
We are seeking a seasoned Machine Learning Leader to scale our machine learning products and ensure the integrity of our credit risk policy. The ideal candidate will work on implementing models within pre-approved campaigns and live digital journeys, ensuring APIs operate smoothly at scale.
The role requires a strong background in cloud-based tools and packages for automation and encryption.
About the Team:
You will be part of a dynamic ML Engineering Team within Digital Banking, working in a fast-paced environment where new ideas are encouraged. You will collaborate with teams across the bank to drive innovation.
Key Requirements:
- Education: A Master's or Bachelor's degree in Computer Science, Electrical, Civil, or Mechanical engineering.
- 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:
- End-to-end ML/MLOps system architecture including model/BRE implementation, debugging, and production maintenance.
- Proficient in Python, PySpark, NumPy, Pandas, SQL, and Linux.
- Hands-on experience with Azure cloud services including Azure Databricks, Spark, Data Warehousing, and pipeline orchestration.
- Skilled in Azure DevOps for CI/CD pipeline setup and management, including automated model deployment.
- 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 the Digital Business Unit:
The mandate of the Digital Business Unit is to build customer-centric products with human-centered design principles for retail individual and micro, small and medium enterprise customer segments. We aim to build innovative products and propositions backed with problem-solving mindset to discover and solve latent needs of customers. Our objectives are three-fold – (a) Drive better customer experience and engagement (b) transform existing lines of businesses and (c) build new digital only or banking as a service led digital business models
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