Python programmer állások, munkák Németországban

Design, build, and maintain scalable data platforms and data & AI solutions tailored to business needs, including the development of governance structures and access control concepts...

• Identification of the promising state-of-the-art model approaches
• Definition (or refinement) of test cases and driver interaction scenarios
• Benchmarking of available model types under defined boundary conditions (based on requirements from previous investigations)

• Conduct research and publish findings on the neural foundations of affective and cognitive processes in social and work-related contexts
• Design and implement multimodal studies (EEG, fNIRS, eye tracking, physiology), including hyperscanning setups

Drive the Cloud Infrastructure Security function roadmap in alignment with the Product Manager, Tech Lead, and Engineering Manager....

• Investigation of the neuronal mechanisms of cognitive control using EEG data
• Analysis of dynamic EEG states as markers of adaptive behavior
• Exploration of the interplay between neuronal oscillations across time and frequency domains
• Investigation of directed information flow between brain regions

• Provide technical support to scientific and industrial customers via phone, webchat, and email, focusing on post-sales and service inquiries
• Collaborate with local Engineering and global Technical Support teams to deliver accurate solutions and guidance

Design, develop, implement and own cloud network products, services, and solutions to improve the security, reliability, and connectivity of the N26 unified network infrastructure and systems....

• Development and implementation of complex scientific devices in the field of aerosol and liquid jet applications
• Adaptation of these devices for use in various large-scale facilities
• Procurement, maintenance, and optimization of the systems

Design and operate scalable workflows for the ingestion, integration, deduplication and harmonisation of heterogeneous environmental observation and research data, including traceable provenance, metadata enrichment and semantic annotation...

• Partner with internal teams and model researchers to evaluate high-value use cases and understand their business context.
• Analyze use cases across the organization and advise on how to make them work effectively with our tabular foundation models.

• Collect, process, and analyze large and complex data sets.
• Support the development and implementation of data analytics solutions.
• Prepare presentations, reports, and visualizations to effectively communicate data findings to stakeholders.

• Ensure reliability and uptime of our production systems (Kubernetes, networks, storage)
• Automate infrastructure using Terraform, Ansible, Puppet, etc.
• Operate and evolve monitoring and observability with Prometheus, Grafana, Loki, Cribl.io

• Implement features and workflow enhancements and support the configuration and improvement of ServiceNow modules (e.g., Risk, CMDB, Asset, Change, Incident).
• Help maintain data consistency across Asset, Process, and Risk domains.

Permanent Contract, Full- or Part-Time, Remote or Cologne / Darmstadt / Düsseldorf / Berlin INFO WHO WE ARE We are the tech powerhouse behind Kaufland's international online marketplaces and a company within the Schwarz Group. Driven by a start-up mentality and working on an equal footing within...

• Shape the future AI & GenAI tech stack at ZEISS by mapping state-of-the-art technology to ZEISS business needs – ensuring scalability, maintainability and cost-effectiveness
• Consult teams in Zeiss Digital Partners and beyond regarding AI & GenAI technologies and implementation

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....

• Develop and Implement: Build and maintain platform solutions that improve the reliability, security, and scalability of our Database Platform infrastructure.
• Operational Excellence: Apply cloud infrastructure, networking, and CI/CD best practices to support our operational data storage solutions.

As a quality lab engineer, you will define reliability test systems, lead the development of required electronic boards, perform electrical and reliability testing, optimize test methods, train operational staff, and oversee after care activities such as service and maintenance....

You develop advanced machine learning-based architectures for automated driving functions and shape the way in which we scale our ML development....

• 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.