As the Architecture Owner for Data Science, you will play a pivotal role in developing and implementing AI and Machine Learning solutions across multiple domains.
You will collaborate with a team of data scientists, ML Ops engineers, and AI architects to design, prototype, and operationalise machine learning applications that enhance core banking functionalities.
Key Responsibilities:
* Design and develop AI and Machine Learning solutions with the Solution/AI Architect team and Data Science experts.
* Take ownership of the machine learning architecture, including infrastructure, applications, and data pipelines.
* Lead projects from inception through to implementation, working within a cross-functional team to create innovative technical solutions.
* Create and maintain comprehensive architecture documentation, ensuring adherence to AI & ML specifications across the organisation.
* Promote best practices, encourage innovation, and share technical knowledge with colleagues.
Your Profile:
* A degree or relevant education in Computer Science or related fields, with further training in specialised areas.
* Several years of hands-on experience in machine learning and designing scalable, efficient solutions for both on-premise and cloud environments.
* Strong technical expertise in Python, Kubernetes, Airflow, MLflow, dbt, and Spark (or similar technologies).
* Excellent communication and moderation skills, able to translate technical requirements to diverse audiences.
* Proficient in both German and English.
Seniority Level
Mid-Senior level
Employment Type
Full-time
Job Function
Engineering and Information Technology
Industries
Technology, Information and Media