Machine Learning Engineer, Fever

Machine Learning Engineer

Fever

Location:

Spain, Madrid ▼

Barcelona

Category:

IT - Software Development

Contract Type:

Employment contract

Salary:

Not provided

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Job Description:

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.

Job Responsibility:

Deploy trusted models that power Fever's decision making
Design, build and support modern and scalable machine learning infrastructure, e.g
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

Requirements:

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

Nice to have:

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.g. 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.

What we offer:

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.

Additional Information:

Job Posted:

March 19, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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