(Senior) Machine Learning Engineer / Data Scientist (m/f/d)

• ML Product Development: Independent conception, analysis and scaling of data-driven software products (from prototype to productive feature).
• MLOps & Lifecycle: Building automated ML pipelines (CI/CD) as well as monitoring and maintenance of models in the cloud (e.g. Google Cloud / Vertex AI).
• Software Design: Active participation in the design of modern software architectures for the control of decentralized energy systems, focusing on performance and scalability.
• Internal Enablement: Development of tools and interfaces for self-service data access within various departments.
• Quality assurance: Consistent application of clean code, conducting code reviews, and further development of internal engineering standards.
• Agile collaboration: Technical leadership and mentoring within the team, as well as close coordination with product owners regarding technical feasibility and effort estimation.

• Education: Successfully completed studies in mathematics, computer science, industrial engineering, renewable energy systems or comparable qualification.
• Methodology: Sound knowledge of mathematical optimization ( MILP , dynamic optimization) and AI methods such as reinforcement learning .
• Programming: Proficient command of Python and Java , as well as experienced handling of SQL/NoSQL databases.
• Tech stack: Experience with Docker, Kubernetes, modern backend architectures and Infrastructure as Code (e.g. Terraform) as well as agile methods (Scrum).
• Industry knowledge: Experience in the energy sector (e.g. networked systems, sector coupling, intelligent control) is desirable.
• Mindset: Strong quality standards for one's own code ("Engineering Mindset"), solution-oriented and analytical.
• Languages: Very good German and English skills, both spoken and written.

• a permanent employment contract with performance-based pay
• Flexible working hours and various working time models; mobile working
• Agile working; light-flooded lofts; work islands & standing workstations; English courses
• Corporate health management; fresh fruit, free drinks and all the coffee specialties you want.
• Joint sporting events such as company runs or volleyball; company bike leasing; paid leave for annoying colds; subsidy for Urban Sports Club membership for your fitness.
• Job ticket; bonus for employee recruitment; company pension scheme
• Personal responsibility; regular feedback sessions; fixed training budgets and on-the-job training
• sponsored leisure activities (billiards, foosball, table tennis, etc.)
• an individual design of one's own workplace

jobs@kiwigrid.com

This is the decisive decade of the energy transition, and you are a part of it. Even today, numerous electric vehicles are on our roads, we see more and more roofs equipped with solar technology, and the demand for flexible green electricity tariffs is higher than ever. In just a few years, we will be able to generate, use, and distribute all our own energy – simultaneously powering our homes, controlling our heating, and charging our electric cars right at our doorstep. Intelligently connecting all the stakeholders and the multitude of systems requires new, smart IoT technologies. Kiwigrid is one of the leading B2B(2C) companies in the decentralized energy market. Our energy service platform, KiwiOS, and our advanced white-label end-customer products are key to realizing a 100% renewable energy-powered world. Kiwigrid is comprised of around 160 enthusiastic Kiwis from various countries, working together in Dresden and remotely, supporting each other along the way.
Are you ready to help create a 100% sustainably powered energy world and can you imagine yourself as part of an enthusiastic team developing the energy products of the future? Then we look forward to getting to know you.