In this role, you will
- Lead the design and development of scalable machine learning infrastructure on AWS.
- Work closely with product teams to develop MVPs for AI-driven features.
- Create and enhance monitoring and alerting systems for machine learning models.
- Enable various departments to leverage AI/ML models for different use cases.
- Offer expertise in debugging and resolving issues in production.
- Design and scale machine learning architecture to support rapid user growth.
- Conduct code reviews, mentor team members, and elevate team capabilities.
- Stay updated with the latest advancements in machine learning technologies.
You will need
- Bachelor's degree in Computer Science, Machine Learning, Statistics, or related field.
- At least 9+ years of experience in machine learning engineering.
- Proficiency with Python; experience with Golang is a plus.
- Strong familiarity with AWS services related to machine learning.
- Comfortable with tools like Kubernetes, Docker, and CI/CD pipelines.
- Solid foundation in data processing and pipeline frameworks.
What we offer
- Opportunities to work with cutting-edge technologies.
- A dynamic and inclusive work environment.
- Participation in initiatives for financial inclusion.
- The chance to lead and innovate in the fast-paced fintech space.
