Data-Driven Full-Stack Engineer for ML on AWS
Summary
Worky is looking for a Full Stack Engineer to build and maintain data-driven applications and machine learning pipelines on AWS for their Zula 2.0 project. The role involves collaborating with data scientists to design scalable systems and deploy ML models.
Worky is seeking Full Stack Engineers with a data science focus to design, build, and maintain data-driven applications and pipelines behind Zula 2.0. You will work across the full stack with emphasis on backend data processing, analytics, and machine learning workflows, hosted on AWS.
Zula 2.0 is the critical path for the team through year-end. You will design pipelines, deploy ML models, and collaborate with data scientists and engineers to surface meaningful insights and scalable systems.