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hace 2 meses
About Feverup
Feverup is a leading global live-entertainment discovery tech platform with a clear mission: to democratize access to culture and entertainment. Our proprietary technology inspires a global community of over 125M people through personalized and curated experiences in their local city, while empowering entertainment and event creators to reach new audiences and enhance their experience.
The Engineering Team
We are in charge of creating, developing, improving, and maintaining all Feverup services so that more people can have an amazing experience. Our team is responsible for shaping the future of data science at Feverup, creating and maintaining an end-to-end machine learning pipeline, and working hand-in-hand with data scientists and data engineers to help with experiment setup and model design.
About the Role
You will be responsible for deploying trusted models that power Feverup's decision-making, designing, building, and supporting modern and scalable machine learning infrastructure, and building a reproducible, organized, end-to-end machine learning pipeline. You will also be responsible for building model quality and usage monitoring systems, automating model training, and building tools to make our analysts and data scientists more efficient.
Key Responsibilities
- Deploy trusted models that power Feverup's decision-making
- Design, build, and support modern and scalable machine learning infrastructure
- Build a reproducible, organized, end-to-end machine learning pipeline
- Build model quality and usage monitoring systems
- Automate model training
- Build tools to make our analysts and data scientists more efficient
What You'll Achieve
- Deploy models that have a direct impact on user experience
- Identify gaps in our platforms and processes and be a champion for continuous improvement
- Mentor other new joiners to the team
What We Offer
We offer a dynamic and challenging work environment, opportunities for growth and development, and a chance to work with a talented team of professionals. If you are passionate about machine learning and data science, and want to be part of a company that is shaping the future of live-entertainment discovery, we encourage you to apply.
