You will lead high-priority strategic projects, including new business governance, M&A, and product financial modeling. Additionally, you will track business performance through KPIs and provide analytical recommendations to senior leadership and the board.
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 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.
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.
