- Build scalable solutions with AI / ML components that fit well into existing software landscape, including data ingestion, transformation, cleaning and analysis
- Integrate LLM / ML input and output into existing applications and systems
- Maintain, improve and simplify existing AI / ML solutions
- Get users’ feedback for further improvements
- Gain a thorough understanding of the business needs in the Finance domain and consult the business / domain experts
- Share your know-how with team members
- Stay up-to-date with innovative software technologies that support data-driven decision making, e.g., in the LLM space
- Bachelor's or master's degree in computer science, mathematics, engineering or in a related field
- At least 5 years of experience in software engineering with a passion for creating scalable software solutions using Python, Java, SQL
- At least 3 years of hands-on experience in cloud-based software engineering including Kubernetes / Docker and Azure services like Azure Cognitive Services
- Strong problem-solving and analytical skills together with a flexible and creative mindset for finding different solutions based on the highest customer benefit is helpful
- Data Engineering: performing thorough data analyses and creating scalable data pipelines. Knowledge of Snowflake is considered a plus
- A basic understanding of agile project management is welcome
- Business fluent English. German skills are a plus
- 2 to 3 days of mobile working per week as a future global standard
- Development opportunities for both personal and professional growth
- 30 leave days and a variety of flexible working models that allow time off for yourself and your family
- Share matching programs to become a shareholder of Siemens AG
- Broad range of wellbeing offerings and appealing Siemens pension benefits
- Find more benefits here
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