
Artificial Intelligence Engineering Lead
2 days ago
About the Position:
This role involves overseeing the scalability of AI-driven products and credit risk policy within pre-approved campaigns and live digital experiences.
We are looking for an individual with a business-oriented mindset, expertise in automation and encryption tools/packages, and APIs.
Key Responsibilities:
- Ensuring the scalability of AI-driven products and credit risk policy
- Identifying ways to simplify and reduce risk in customer journeys
- Collaborating with cross-functional teams to drive innovation and growth
Requirements:
- 6-8 years of industry experience in Machine Learning/MLOps or Business Rule Engine implementation
- Proven expertise in 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
Preferred Qualifications:
- Experience with FastAPI/Flask for building scalable AI models APIs
- Exposure to credit risk modeling and financial services
What We Offer:
- A fast-paced work environment where innovative ideas thrive
- Collaborative teams with expertise in data engineering, data science, product management, and business stakeholders
- Opportunities for professional growth and development
Our Team:
You will be part of our Digital Banking Unit, working closely with experienced professionals who share your passion for innovation and customer-centricity.
Together, we aim to deliver exceptional customer experiences through human-centered design principles and problem-solving approaches.
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