Manager, Data Engineering (Logistics, ML Platform)

TL;DR

Manager, Data Engineering (Logistics, ML Platform): Leading a team to design, build, and maintain a robust MLOps architecture for the Logistics Machine Learning Platform with an accent on efficiently scaling the ML lifecycle. Focus on stakeholder management, operational excellence, and providing technical direction aligned with business needs.

Location: Must join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week

Company

hirify.global is the world’s pioneering local delivery platform, operating in over 70 countries.

What you will do

• Lead a team of data and machine learning engineers to design, build, and maintain robust MLOps architecture, ensuring the ML lifecycle operates efficiently at scale.
• Support the team's day-to-day development experience, personal development, and long-term career growth.
• Drive project and tech strategy across the Domain.
• Own the tech metrics and KPIs of your team, ensuring full visibility, tracking, and alerting.
• Provide technical support for the design of solutions that are reliable, performing, cost-effective, and scalable.

Requirements

• You are a knowledgeable technical guide who aligns with and supports product and business goals.
• You are programing language agnostic with a clear understanding of core concepts, and paradigms, and can abstract this knowledge to multiple scenarios.
• ML Engineering Expertise: Extensive experience in data, ML engineering or MLOps.
• Cloud Proficiency: Prior experience working with public cloud platforms (GCP/AWS or equivalent) and knowledge of Kubernetes.
• Leadership Acumen: Proven experience leading and mentoring a team of engineers and engineering managers as a direct manager.
• You believe in cross-functional teams and have experience managing projects and dependencies across multiple teams and stakeholders.

Nice to have

• You are familiar with A/B testing
• You can be hands-on on demand to support and guide more junior developers.
• You have worked with Data-science projects.

Culture & Benefits

• Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week
• We offer 27 days holiday with an extra day on 2nd and 3rd year of service
• 1.000 € Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses.
• Health Checkups, Meditation, Gym & Bicycle Subsidy
• Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan