Engineering Manager, Delivery Hero

• You have a solid software engineering background (SWE preferably but we will consider Data and ML) and a great understanding of Machine learning
• You have built or led a small cross-functional team
• An empathetic candid leader that leads by example and mentors/coaches engineers
• 2+ years of professional hands-on experience in implementing and shipping machine-learning services in a large-scale production environment
• Ability to design architecture that works at our scale, in terms of performance and complexity
• Fluency in Golang, Python, and API design
• Excellent computer science knowledge with sound competencies in data structures, algorithms, and software design
• Hold yourself and others to a high bar when working with production systems
• You care about agile software processes, data-driven development, reliability, and disciplined experimentation
• Ability to effectively articulate technical challenges and solutions and deal well with ambiguous/undefined problems; ability to think abstractly
• Knowledge of multi-threading, concurrency, and parallel processing technologies
• Experience with data processing technologies (batch & streaming) and big data technologies
• Strong verbal and written communication skills

Desirable

• We are looking for an Engineer Manager(f/m/d) to join our "Quick Commerce Customer Data Product team”
• As an Engineering Manager, you will lead a cross-functional team including Data Scientist, Machine Learning Engineer, and Software Engineer, and work closely with your product counterpart to build and maintain highly scalable and reliable ML services that power our Retail Media Network customer data products
• Lead a cross-functional engineering team(DS/MLE/SDE) to develop and maintain sophisticated ML services
• Collaborate closely with other engineering teams focused on Retail Media Networks, and make sure integrations with different internal teams are conducted successfully
• Mentor and grow engineers based on our engineering career framework
• You drive the implementation and operationalization of end-to-end machine learning solutions and data processing pipelines that integrate with our Global systems
• You demonstrate excellent software development engineering skills that you use daily for designing computationally effective solutions for machine learning operationalization and maintenance (MLOps/MLaaS) in large-scale production environments
• You are familiar with practical machine learning, encompassing sound use of data preprocessing techniques, analysis, modeling, hyper-parameter tuning approaches, and validation methods
• Eventually, you are not afraid to contribute and make an impact in a global, fast-moving tech organization