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As a Cloud Data & ML Platform Engineer, you will:
Contribute to the implementation of best-in-class services for our SAP Cloud Data & ML Platform, industrializing the entire Data Engineering pipelines and Machine Learning models life cycle (DevSecOps, MLOps).
Get involved in all aspects of entire solution lifecycle starting from idea creation to productization.
Utilize Azure cloud infrastructure to evolve and extend ML platform services.
Develop & Operate cutting-edge Machine Learning platform services for large enterprise by following agile development practices.
Demonstrate excellent skills in product design and development.
Implement high-quality ideas efficiently, with a focus on technical expertise and attention to detail.
What you bring
Bachelor‘s or master’s degree in business informatics, computer science, engineering or related technical fields.
Ability to communicate complex concepts in simple form to non-technical audience
Interest in Big Data, Data Science, AI, Machine Learning and MLOps issues.
Programming experience in Python.
Experience in Cloud and AI technologies (e.g., Microsoft Azure, Databricks, Spark).
Experience in automation with Infrastructure as Code, such as Terraform.
Hands-on experience with Jenkins for automating software development processes.
Demonstrate excellent skills in product design and development.
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