Machine learning ops engineer Empleos en Madrid
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Edelman is a voice synonymous with trust, reimagining a future where the currency of communication is action.Our culture thrives on three promises : boldness is possibility, empathy is progress, and...Mostrar másÚltima actualización: hace 13 días
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FEROMadrid, Comunidad de Madrid, España Get AI-powered advice on this job and more exclusive features.Empower Data, Drive Impact, and Build the Future of ML in Madrid!.
Are you passionate about uncovering insights from data and building m...Mostrar másÚltima actualización: hace 13 días
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PepsiCo Deutschland GmbH, , Spain, España Are you ready to drive PepsiCo’s digital evolution and accelerate transformation across our global operations?.With data deeply embedded in our DNA, PepsiCo Data, Analytics and AI (DA&AI) transform...Mostrar másÚltima actualización: hace 5 días
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Machine Learning Engineer
FEROMadrid, Comunidad de Madrid, EspañaHace 13 días
Descripción del trabajoInnovative 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. 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
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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
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 :
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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