Qualifications:
· A minimum of 3 years of experience in AI engineering, specifically in the Azure ecosystem.
· Previous experience within the asset management industry is a must.
· Proficiency in Python and other relevant programming languages for AI development.
· Strong understanding of cloud architecture, data engineering, and containerization technologies such as Docker and Kubernetes.
· Experience in the full machine learning lifecycle, from data collection and model development to deployment and monitoring.
· Solid knowledge of financial markets, asset management, and financial data analysis (including time series analysis, portfolio management, and risk modeling).
· Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
· Proven experience mentoring and coaching teams, with the ability to elevate technical skills across teams.