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• Have end-to-end responsibility, from data exploration to applying state-of-the-art machine learning techniques and building production-ready applications.
• Your work will directly enable innovative solutions in financial crime prevention and credit risk assessment.

• Own and deliver end-to-end Salesforce solutions - from analysis, design, and development to deployment, monitoring, and incident response
• Lead and independently drive technical projects within the team and across domains, acting as a mature and solution-oriented technical counterpart

• Implement and productionise ML-based services using Sagemaker
• Work on NLP and LLM projects, applying your expertise to contribute to and build on our existing solutions.
• Utilize IaC and CI/CD best practices to increase the efficiency in deployment and management of resources.

• Design our software, analyze problems and implement your solutions independently focusing on C++ development and network protocols
• Develop complex software modules together with our agile development teams

• Develop a web-based application for process testing from scratch
• Collaborate with cross-functional teams to retrieve process definitions and test results
• Implement user-friendly interfaces and robust backend services
• Ensure seamless integration with existing learning products

Develop and drive the implementation of Cloud Data Security strategy in alignment with the Product Manager, Tech Lead, and Engineering Manager....

• Owning the architecture of a new high-end neurosurgery microscope
• Driving the development by designing, implementing, and maintaining software
• Providing technical leadership and mentoring to the development team
• Collaborating closely with other development teams and departments

Develop and implement DSS cross-functional technology infrastructure strategy, ensuring alignment with business needs and stakeholder engagement, including Clinical Data Science, Data Engineering, Statistical Programming and Biostatistics...

To deliver high-quality, user-focused frontend experiences, you build complex UI features in React & Next.js, develop component-based UI systems and optimize UX together with our Product Managers and Designers....

• You'll play a key role in shaping the next generation of our hybrid applications.
• Together with a passionate and cross-functional team, you'll design scalable, shared-library architectures that connect web and mobile platforms seamlessly.

• Design, implement and optimize effective data processing architectures in Python
• Extract, transform, analyze, clean and model data from different sources
• Implement and operate maintainable and reliable data pipelines using PySpark and Airflow with a strong focus on data quality

• Develop and optimize end-to-end pricing strategies, including algorithm development, implementation, and continuous performance monitoring
• Design and execute complex pricing experiments and A/B tests, analyzing results and providing strategic recommendations to leadership

• You develop and operate scalable, secure, and high-performance AI platforms in modern cloud environments.
• Additionally, you support the entire AI lifecycle - from data preparation through development and training to the productive operation of machine learning and generative AI solutions.

• Design, develop, and implement platform solutions that enhance the reliability, security, and scalability of the AI Platform infrastructure.
• Provide technical leadership in cloud infrastructure, networking, CI/CD, and security for AI and MLOps workloads.

• You will take overall technical responsibility for complex, cross-functional AI initiatives - from requirements analysis through to implementation.
• You will independently identify, evaluate and manage AI-related projects.

• You create advanced AI approaches for general-purpose robotics, with a focus on robotic foundation models.
• Furthermore, you train, finetune, evaluate, and deploy models such as vision-language-action architectures.

• System Design: Develop software systems for large-scale robotic data collection, ensuring reliability and scalability.
• Engineering Principles: Apply structured practices to build maintainable, modular, and testable codebases.

You build, validate, and analyse finite element models (FEA/FEM) for structural, crash, noise, vibration, roughness, and aerodynamic simulations....

• You own the strategy and roadmap for domain specific foundation models; align with engineering and production leaders.
• You build and adapt large language, reasoning, and multimodal models for automation at scale.

• Develop and maintain front-end interfaces with React (or Vue) for intuitive user experiences.
• Implement robust backend services and APIs using Node.js, TypeScript, and Python.
• Design, implement, and optimize database schemas across relational and non-relational systems.