Machine Learning Engineer

Join us to transform experimental models into scalable ML systems to deliver real business impact.

About the Position

Shalion is a data and insights-driven company that serves world-class manufacturers and brands globally. Through our Digital Shelf Optimization, Retail Media, and Food Service Aggregators solutions, we provide innovative tools for e-commerce monitoring.

At Shalion, we empower brands to make smarter business decisions in eCommerce by delivering actionable data and insights on online product prices, availability, share of search, and more. We operate across 1000+ e-retailers in 60+ countries, serving industry giants such as Heineken, Lego, Danone, Nestlé, and JDE.

As a leader in data intelligence, we specialize in gathering, analyzing, and applying proprietary artificial intelligence to deliver relevant data and monitoring tools, helping our clients maximize their e-commerce performance.

Responsibilities

• Own the end-to-end lifecycle of ML systems, with focus on deployment and monitoring.
• Refactor and productionize existing models and notebooks into clean, modular, and testable code.
• Introduce and enforce best practices in coding, testing, model versioning.
• Set up and improve CI/CD workflows for ML systems.
• Work closely with Data Scientists and Data Engineers to ensure clean interfaces and reliable data flows.
• Act as a technical reference within the team, reviewing code and guiding less experienced members.

Requirements

• Experience building and deploying ML systems in production environments.
• Strong software engineering skills in Python, with a focus on writing clean, maintainable, and testable code.
• Proven experience taking models from notebook to production.
• Solid understanding of model development lifecycle.
• (Bonus) Familiarity with containerization (Docker).
• (Bonus) Experience with cloud environments (AWS preferred) and data platforms such as Snowflake.

Soft Skills

• Pragmatic and solution-oriented: you focus on what works in production, not just in theory.
• Comfortable working in ambiguous environments and bringing structure where needed.
• Quality-driven mindset with attention to maintainability and long-term scalability.

Interview Process

• First interview: Intro & mutual fit.
• Second interview: Technical discussion.
• Third interview: Deep dive with Tech Lead.

We Offer

• 🌍 An international team – Work with colleagues from 10+ nationalities.
• 🚀 A dynamic and innovative environment – Be part of a high-performing team.
• 🏢 Hybrid work model – 3 days in-office, 2 days remote.
• 💡 Impactful work – Contribute to a challenging and innovative project.
• 🎟 Flexible benefits – allocate part of your gross salary (pre-tax) to meal vouchers, transport allowance, and private healthcare at a preferential rate.
• 🍏 Office perks – Fresh fruit and specialty coffee daily.
• 📄 Contract: Permanent.
• 📍 Great location – Office in Barcelona’s Sarrià-Sant Gervasi district.

About the Company

Shalion is a global leader in eCommerce intelligence, helping brands thrive in an increasingly complex digital landscape. We provide a unique platform that unifies digital shelf and retail media insights, empowering businesses to make data-driven decisions that drive growth and success.

Our solutions deliver product performance data from over 1,000 retailers across over 60 countries, offering comprehensive visibility into every aspect of your eCommerce performance.

Founded in 2019, Shalion Data Services Limited is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.