SafetyManager365 teams work rapidly, adapt with agility, and stay focused on delivering meaningful solutions. Airlines generate huge volumes of safety reports, operational data and investigations. Our platform helps safety teams analyse that information, identify risks earlier and make better operational decisions. We are driven by the opportunity to solve complex challenges with real impact for our customers and the wider industry.
We are looking for a Senior ML engineer to join our newly established team inside the larger Comply365 group. The adecuado candidate would have hands-on experience deploying machine learning models in production and will thrive in a fast-paced, startup-like environment. We are a highly collaborative engineering culture and we write tests first, pair every day and commit directly to trunk. This is a full-time role (40 hours per week) with core hours from 10am to 5pm to ensure strong team alignment and collaboration, while still allowing flexibility outside of those hours.
Due to time-zone alignment and business needs, applicants must be able to work on a hybrid basis in Barcelona (3 days in the office, 2 days remote).
Responsibilities:
- Own ML initiatives end to end - from understanding customer problems and designing experiments through to implementation, deployment, measurement and continuous improvement.
- Apply a strong product mindset when evaluating ML and AI technologies, choosing pragmatic solutions that deliver customer and business value over technical novelty.
- Partner closely with product managers and engineers to design and deliver robust, production-ready ML and AI solutions.
- Write clean, efficient and maintainable code, applying strong software engineering practices and maintaining high standards of quality.
- Work collaboratively through regular pair programming, sharing knowledge, supporting others and continuously improving engineering practice