Responsibilities
- Create advanced technical designs for data-heavy systems with an emphasis on machine learning and artificial intelligence.
- Deploy and manage solutions on cloud platforms such as AWS, Azure, or GCP, as well as on customer-specific on-premises infrastructure.
- Automate routine workflows using current DevOps and MLOps methodologies to reduce deployment cycles and improve efficiency.
- Ensure reliable system operation by implementing monitoring, failover, and disaster recovery mechanisms that meet regulatory standards.
- Engage directly with clients and stakeholders to convert complex business needs into functional, production-grade AI solutions.
- Partner with professionals across domains including architecture, analytics, data science, and engineering to build robust data platforms, lakes, and warehouses.
Benefits
- Opportunity to work on diverse projects across multiple sectors including finance, insurance, automotive, and retail.
- Expand expertise through cross-functional collaboration and learning in data engineering, cloud infrastructure, and data science.
- Collaborate with leading technology partners in cloud computing, business intelligence, and automated machine learning.
- Participate in a dynamic social and professional development program featuring training, conferences, team events, hackathons, and internal communities.
- Work in a transparent, collaborative culture supported by a wide internal network for knowledge exchange.
- Enjoy a recognized, high-quality workspace located in central Munich with proximity to the Stammstrecke transit line.
- Select your preferred modern hardware and development tools.
- Receive a public transportation pass including access to the Deutschlandticket.
- Get financial support for a gym membership of your choice.
- Work flexibly across client sites, office, and remote settings.
Work Arrangement
Hybrid — Munich
Work Arrangement
Hybrid — Munich
