Advanced Machine Learning Architect
hace 5 días
At Stuart, we're revolutionizing on-demand delivery across various sectors. Our mission is to build a more sustainable logistics future for a shared, efficient, and reliable world. We strive to create a new standard for urban deliveries that meet today's environmental and social challenges while offering a premium delivery experience blending speed, flexibility, and convenience.
About the RoleWe're seeking an experienced Lead Machine Learning Engineer, based in Barcelona, Spain, to drive our ML engineering efforts within a talented team of Data Scientists and ML Engineers. You'll be responsible for developing, deploying, and scaling innovative machine learning services in domains like real-time courier incentive & positioning optimization, prediction of estimated times of arrival (ETAs) & risk signals throughout the package lifecycle, and fraud detection.
Key Responsibilities- Build and Scale ML Services: Design, implement, and optimize our ML backend, enabling the efficient development and deployment of new ML-driven features & products.
- End-to-End Ownership: Own ML services from prototype to production, ensuring performance, reliability, and scalability.
- Mentor and Lead: Guide and mentor team members, fostering a high-performing, learning-driven engineering culture.
- Background: 5+ years of hands-on ML engineering experience in production environments.
- Software Engineering Expertise: Advanced level in Python with deep knowledge of data structures, algorithms, object-oriented programming, and CI/CD workflows.
- ML Infrastructure and Cloud Proficiency: Strong expertise in building ML infrastructure for event-driven and batch pipelines via Kafka, PySpark, Airflow, DBT, Docker, and Kubernetes.
We offer a competitive salary of €120,000 per year, as well as a range of benefits, including:
- Ticket Restaurant by Edenred (€11 daily).
- A wellness allowance (€40 monthly) to use in any gym or sport class.
- Private healthcare provided by Alan.
- A free monthly Bicing card.
- A parents-friendly environment with a monthly childcare voucher.
- Social activities and events.
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