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Machine Learning Engineer

FEROMadrid, Comunidad de Madrid, España

Hace 15 días

Descripción del trabajo

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Empower Data, Drive Impact, and Build the Future of ML in Madrid!

Are you passionate about uncovering insights from data and building machine learning models that deliver real-world impact? At FERO , we’re looking for a Machine Learning Engineer excited to own the full ML lifecycle—from data exploration and feature engineering to deploying, scaling, and maintaining models in production. If you’re a strong coder with a problem-solving mindset and enjoy working in cloud-based environments, this role is for you!

Who We Are

We're FERO , a cutting-edge startup transforming the customer checkout and payment journey to drive up conversion rates and revenue. Backed by top VCs , we offer competitive pay and employee equity because we believe in shared success. Our awesome Tech hub in central Madrid fosters a fun, creative, and collaborative culture.

What You'll Do

End-to-End Model Development – Dive into data exploration, uncover valuable insights, and engineer meaningful features. Design, develop, and train machine learning models to drive insights and enhance user experiences.
Production Deployment – Deploy models into production, ensuring they’re scalable, robust, and optimized for real-time performance.
MLOps & Infrastructure – Build and maintain reliable workflows to deploy, monitor, and manage models smoothly and efficiently.
Cloud-Based Engineering – Work extensively with AWS and other cloud services to develop, deploy, and manage models at scale.
Collaborate – Work closely with cross-functional teams to understand business requirements and deliver ML solutions that add value.
Innovation – Stay ahead of industry trends and implement best practices to continuously improve our ML infrastructure.

What We Offer

Innovative Environment – Work on cutting-edge solutions in a greenfield setting.

Growth Opportunities – Join us early and grow with us professionally and personally.

Collaborative Culture – Be part of a friendly, creative, and supportive team.

Flexible Work – Hybrid model— 3 days in office, 2 days WFH.

Competitive Compensation – Great pay, employee equity , and private health insurance partially sponsored by FERO.

Who You Are

You’re not just a machine learning enthusiast—you’re a builder , a problem-solver , and someone who loves seeing models in action, delivering real business value. Here’s what you’ll bring to the table :

Full Lifecycle ML Experience – Strong background in developing, deploying, and maintaining machine learning models from start to finish, particularly for classification tasks.

Data Exploration Passion – You enjoy digging into data , uncovering patterns, and engineering features that drive model performance.

Software Engineering Mindset – Whether from formal training or practical experience, you understand software engineering principles and write clean, efficient, and maintainable code.

Proficiency in Python – You’re highly skilled in Python and familiar with common machine learning frameworks and libraries.

MLOps Awareness – Comfortable setting up workflows to deploy, monitor, and manage models in production environments.

Cloud Experience – Hands-on experience working in cloud environments , with exposure to deploying models in scalable, cloud-based architectures.

Microservice Architecture (Plus) – Experience working with cloud-based microservice architectures is a plus.

Collaborative & Communicative – You’re a team player who can translate complex technical concepts into actionable insights for non-technical stakeholders.

Eligible to Work in Spain

Ready to Join Us?

Excited to make a difference ? Send us your English CV and let's get started on this amazing journey together!

Seniority level

Entry level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Software Development

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