You will build and maintain the Machine Learning infrastructure and MLOps pipelines to enable data scientists to deploy models efficiently. This includes creating self-service tools, SDKs, and automated testing suites to ensure high-quality model production and observability.
The Pricing Expert will lead the design, implementation, and evolution of pricing strategies for BNPL products to ensure profitability and competitiveness. This role involves cross-functional collaboration with finance, product, and data teams to build financial models and monitor portfolio performance.
The Engineering Lead will guide a squad on backend architectural decisions, best practices, and technical execution to ensure scalability and reliability. They will also collaborate cross-functionally with product and DevOps teams while mentoring backend developers to foster technical excellence.
Lead and motivate a team of recovery analysts to collect overdue payments from BNPL platform users. Monitor key performance indicators and prepare reports to optimize recovery processes and ensure regulatory compliance.
Design and operate a unified AI platform layer consisting of LLM and MCP gateways to manage external model providers. Focus on governance, cost control, security, and observability to ensure safe and efficient AI consumption across the company.
Integrate security into the entire software development lifecycle by designing secure pipelines and implementing SAST, SCA, and DAST tools. Collaborate with engineering teams to remediate vulnerabilities and conduct threat modeling for applications and services.
