Senior Machine Learning Engineer, Fever

Fever

Location:
Spain, Madrid or Barcelona

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Not provided

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Job Description:

We’re looking for an experienced ML Engineer with a solid software engineering foundation who is passionate about building robust, scalable, and maintainable systems. You’ll join the team responsible for projects like recommendations, search, marketing optimization, process automation, and much more at Fever.

Job Responsibility:

Design and implement scalable, reproducible ML pipelines — from data ingestion to deployment
Create and serve models via RESTful APIs and asynchronous services, ensuring performance and reliability
Automate the full ML lifecycle using tools like Airflow, MLFlow, Docker and Kubernetes
Build and maintain distributed, event-driven systems with high throughput and low latency
Operate services in production handling 1000+ requests per second
Cross-functional collaboration with data scientists, data engineers, product managers, or marketing teams
Collaborate with DICE, Onebox and other members of the Fever group to strengthen the Fever ecosystem

Requirements:

Python expertise: you know asyncio, typing, testing frameworks, profiling, packaging, OOP, and design patterns
Experience building and productionizing models
Strong understanding of event-based communication and microservice design
Experience with container orchestration and cloud: Docker, Kubernetes (EKS preferred), and AWS
Experience building and consuming RESTful APIs (FasAPI preferred)
Solid knowledge of SQL and relational databases
Strong software engineering practices: clean architecture, testing, monitoring, profiling, and CI/CD
Familiarity with observability tools (logs, metrics, traces) and high-performance service tuning

Nice to have:

Experience with ML platforms like MLFlow, MetaFlow, or DeepNote
Built and shipped recommender systems or ranking services at scale
Experience working in a marketplace
Hands-on experience with search engines like ElasticSearch or OpenSearch
Experience with streaming pipelines (Kafka Streams, Flink, Spark Streaming)
Hands-on experience with marketing APIs like Meta or Google
Side or open-source projects involving data-powered applications

What we offer:

Responsibility from day one and professional and personal growth
Opportunity to have a real impact in a high-growth global category leader
A compensation package consisting of base salary and the potential to earn a significant bonus for top performance
Stock options plan
40% discount on all Fever events and experiences
Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee
English / Spanish Lessons
Wellhub Membership
Possibility to receive in advance part of your salary by Payflow

Additional Information:

Job Posted:
July 17, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Senior Machine Learning Engineer