MACHINE LEARNING ENGINEER

Hey there! We’re Fever, the world’s leading tech platform for culture and live entertainment,  Our mission? To democratize access to culture and entertainment.
With our proprietary cutting-edge technology and data-driven approach, we’re revolutionizing the way people engage with live entertainment.
Every month, our platform inspires over 300 million people in +40 countries (and counting) to discover unforgettable experiences while also empowering event creators with our data and technology, helping them scale, innovate, and enhance their events to reach new audiences.
Our results? We’ve teamed up with major industry leaders like Netflix, F.
.
Barcelona, and Primavera Sound, presented international award-winning experiences, and are backed by several leading global investors! Impressive, right?  To achieve our mission, we are looking for bar-raisers with a hands-on mindset who are eager to help shape the future of entertainment! Ready to be part of the experience?  Now, let’s discuss this role and what you will do to help achieve Fever’s mission.
Behind the user-friendly iOS and Android apps and webpage that work across the world is the engineering team.
We are in charge of creating, developing, improving, and maintaining all Fever services so that more people can have an amazing experience.
About the role You'll help shape how data science is done at Fever.
You'll be responsible for creating and maintaining an end to end machine learning pipeline.
You'll work hand in hand with data scientists and data engineers helping on the experiment setup and model design.
You'll bring to production models that will have a direct impact on the end user experience.
You'll enforce best practices in data usage and model building.
On your first month in Fever.
You will be fully integrated into the team.
During this month you will have already participated in onboarding, you'll get a deep dive in the current machine learning efforts and you will have met the different departments at Fever.
You'll get familiar with Fever's tech stack and frameworks.
You will attend some of the Fever Original’s experiences like Candlelight After 3 months in Fever.
You’ll be able to come up with solutions to new difficult problems and you'll be generating impact and creating new business opportunities.
You’ll have responsibilities and ownership over parts of our modeling pipeline or other critical tools.
You will mostly know everybody from the data and engineering communities.
On your 6th month in Fever.
You’ll have deployed to production models that have a direct impact on user experience.
You'll be able to identify gaps in our platforms and processes and be a champion for continuous improvement You’ll be mentoring other new joiners to the team You will participate in some of the team buildings we organise for your team or the whole engineering team Key responsibilities  Deploy trusted models that power Fever's decision making Design, build and support modern and scalable machine learning infrastructure, e.
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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 business processes more efficient.
Understand the technical trade offs of different solutions, implement them and make them scalable About you You’re smart, get stuff done, have great energy, and thrive in a fast paced environment You have experience building reproducible, production-ready machine learning pipelines You have experience productionizing models You are familiar with the engineering best practices, creating quality code You're an expert in Python3 and its data ecosystem  Experience with AWS (S3, EC2, …) You have experience in Docker You are proficient in business English It would be a plus if you...
You have worked Kubernetes, you've deployed services with EKS Have experience with SageMaker, MLFlow or similar frameworks.
You have worked with Django, FastAPI or other python web frameworks.
You have worked with Airflow or similar tools.
You have worked in a multidisciplinary team working with roles such as data analysts, data scientists, marketing or product managers.
You are familiar with tools and processes for reproducible, production-ready ML applications (e.
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data logging, ML workflows, model serving).
You have worked with the API of the most popular marketing tools (Facebook, Google, Instagram, etc.) You have built data-powered tools either in a professional setting or as passion projects.
Benefits & Perks Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance.
Stock options.
Opportunity to have a real impact in a high-growth global category leader 40% discount on all Fever events and experiences Home office friendly, location in Madrid or Barcelona required Responsibility from day one and professional and personal growth Great work environment with a young, international team of talented people to work with! Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee.
English Lessons Gympass Membership Possibility to receive in advance part of your salary by Payflow.
Thank you for considering joining Fever.
We cannot wait to learn more about you! If you want to learn more about us.
Fever's Blog | Tech.
u | TechCrunch Fever is committed to creating an inclusive and diverse workspace where everyone's background and ideas count.
Our main goal is to find the best possible talent regardless of place of birth, racial or ethnic origin, gender, gender identity, religion, opinion, sexual orientation, disability, pregnancy, marital status, age or caring responsibilities.
We encourage everyone to apply! If you require any kind of accommodation during the selection process please contact our Talent team so we can help you by providing a welcoming and seamless journey.
If you want to know more about how Fever processes your personal data, click here  Fever - Candidate Privacy Notice