
Senior Cloud-Based AI Product Developer
2 days ago
We're looking for a seasoned Machine Learning Engineer to join our fast-paced environment and contribute to scaling ML products and credit risk policy within pre-approved campaigns and live digital journeys.
As part of the ML Engineering Team, you'll work closely with data engineers, data scientists, product managers, and senior stakeholders to ensure APIs operate smoothly at scale and identify ways to simplify customer journey.
Key Responsibilities:
- Develop and implement end-to-end system architecture including model implementation, debugging, and production maintenance
- Design, build, and maintain scalable ML models APIs using FastAPI/Flask
- Work closely with cross-functional teams to develop and deploy cloud-based tools for automation and encryption
The ideal candidate will have a strong background in Computer Science/Electrical/Civil/Mechanical, 6-8 years overall experience, and 3-4 years in Machine Learning (ML)/MLOps. You should be proficient in programming languages such as Python, PySpark, NumPy, Pandas, SQL, and Linux.
Requirements:
- Masters or Undergraduate degree in Computer Science/Electrical/Civil/Mechanical
- 6-8 years overall experience, 3-4 years in Machine Learning (ML)/MLOps
Desirable Skills:
- Exposure to credit risk modeling and financial services
- Strong project management and cross-functional collaboration abilities
If you are passionate about building customer-centric products with human-centered design principles, we want to hear from you
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