As the Architecture Owner for Data Science, you will play a pivotal role in the development and implementation of AI and Machine Learning solutions across multiple domains. Working closely with a team of data scientists, ML Ops engineers, and AI architects, you will help design, prototype, and operationalise machine learning applications that enhance core banking functionalities.
Key Responsibilities:
1. Collaborate with the Solution/AI Architect team and Data Science experts to design, develop, and implement AI and Machine Learning solutions.
2. Take ownership of the machine learning architecture, including infrastructure, applications, and data pipelines.
3. Lead projects from inception through to implementation, working within a cross-functional team to create innovative technical solutions.
4. Create and maintain comprehensive architecture documentation, ensuring that AI & ML specifications are adhered to across the organisation.
5. Promote best practices, encourage innovation, and share technical knowledge with colleagues.
Your Profile:
1. A degree or relevant education in Computer Science or related fields, with further training in specialised areas.
2. Several years of hands-on experience in machine learning and designing scalable, efficient solutions for both on-premise and cloud environments.
3. Strong technical expertise in Python, Kubernetes, Airflow, MLflow, dbt, and Spark (or similar technologies).
4. Excellent communication and moderation skills, able to translate technical requirements to diverse audiences.
5. 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
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