Python programmer állások Németországban középiskolai végzettséggel

• Lead the architectural vision and strategic direction for AI and machine learning systems across a distributed team in India and Europe.
• Architect unified, scalable and secure AI systems that supports international data sovereignty and regional privacy regulations.

Build & shape trading workflows: This is not a classic trading seat – you'll actively design, optimize, and scale our trading workflows and strategies. Your quant and algo skills will directly influence how our system trades, adapts, and evolves. You're here to build, not just operate....

• Development and Implementation of Infrastructure-as-Code (IaC) Solutions (e.g., Terraform, Ansible).
• Automation of Recurring Tasks such as deployments, scaling, and troubleshooting.
• Building and Maintaining CI/CD Pipelines for fast and secure software delivery.

• Portfolio monitoring and supervision;
• Observation of financial markets;
• Interaction with German- and English-speaking clients in investment committee meetings, etc.;
• Taking investment decisions for dedicated mandates;

• Manage day-to-day cash flows and ensure liquidity for operational and investment needs
• Prepare short-term liquidity forecasts in close collaboration with the investment team, including capital calls and distributions

• building the data infrastructure
• designing and implementing the neural-process architecture
• you will develop scalable data pipelines for heterogeneous environmental datasets
• you will design and implement neural-process-based architectures for spatio-temporal prediction

• Support architecture discussions, workshops and decision-making processes
• Create stakeholder-ready presentations and architecture artefacts
• Help drive Data & AI governance and architecture initiatives
• Collaborate with engineering, business and data teams across the organization

• Support and enhance key strategic risk management processes, including ICAAP, risk-bearing capacity assessments and the Recovery Plan.
• Maintain and further develop the Bank's Risk Inventory, including the identification and assessment of emerging risks.

• Contribute biological expertise and domain knowledge to the development, validation, and implementation of AI-supported candidate gene discovery approaches.
• Identify, analyse, integrate, and interpret complex multi-omics datasets to support candidate gene discovery and trait development.