Siemens Energy: Shaping the Future of Energy
At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.
Responsibilities
- Development and deployment of AI-driven solutions to address business challenges such as forecasting, anomaly detection, and document classification
- Design and implementation of data pipelines and cloud-based architectures for experimentation, model training, validation, and testing
- Integration of AI components into automation workflows, digital finance platforms, and microservice-based architectures
- Rapid prototyping of AI models and contribution to MVP development within Agile teams
- Continuous evaluation and optimization of AI performance for accuracy, scalability, and compliance with data privacy and security standards
- Collaboration with AI and data engineers to design reusable components, share best practices, and mentor junior team members
Requirements
- University degree in Computer Science, Data Science, Engineering, or a related technical field, or comparable qualifications gained through professional experience
- Proven experience in developing and deploying AI-based automation solutions in applied business environments, ideally within the Finance domain
- Expertise in Python, AWS, Snowflake, and AI frameworks for production-grade implementation
- Strong decision-making skills balancing enterprise architecture, budget, and resource constraints, with experience leading engineering teams
- Solid understanding of Agile principles and modern software development practices
- Commitment to continuous learning and staying current with state-of-the-art AI advancements
Benefits
- Attractive remuneration package in line with the market
- Employer-financed company pension scheme
- Opportunity to become a Siemens Energy shareholder
- Flexible and remote work options
- Extensive professional and personal development opportunities
- Work-life balance initiatives, including flexible working time models, childcare, and sabbaticals