Software Engineer Machine Learning

As a software engineer (machine learning), you are responsible for designing and developing product features and customer solutions, along with the underlying infrastructure, that are based on AI/ML approaches. You may interact closely with solution engineers, customer value architects, and execution management consultants within the Go-to-Market organization and product managers and software engineers within the product and engineering organization to build scalable and high quality AI/ML features and solutions for our customers.

You may also be responsible for designing and implementing new foundational technical components that will power the next generation of EMS and elevate the impact Celonis has on our customers. These components may span the areas of computer vision, natural language processing, data mining, recommendation, knowledge base, business intelligence, and other AI technologies.

1. Deeply understand the business needs of Celonis customers, formulate the business needs into concrete technical problems, often AI related
2. Design and implement scalable and robust data collection mechanisms
3. Design and build APIs and infrastructure to serve data at scale and with low latency
4. Design and develop scalable and high quality AI/ML models or otherwise intelligent approaches
5. Design and build robust and low latency infrastructure to serve the AI/ML models and meet the demands of Celonis customers
6. Improve best practices in software development and DevOps