Python programmer állások Németországban (it programozás, fejlesztés)

As a research engineer, you will be at the forefront of pioneering system design, with the responsibility to architect, develop, and deploy sophisticated AI systems that seamlessly integrate reinforcement learning with agentic AI systems and multi-modal foundation models....

• Pioneer technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Gain new insights by bringing together rich semantic context with large scale business data.

Design and Own End-to-End Solutions: Lead the architectural design and implementation of full-stack features, from robust backend services to intuitive internal dashboards....

development of novel machine models based on supervised, unsupervised and reinforcement learning that can be combined with, enhance or replace methods from computational engineering and computer simulation...

• Analysis of avionics system design/requirements requirements
• Develop executable test plans which address technical specification verification requirements
• Definition and adaptation of design requirements to mission data generation, incl. workflow definition

Design, implementation, and maintenance of workflows for data processing, instrument control, as well as data transfer and storage for continuous atmospheric monitoring devices....

• Keep data moving: Build, run, and refine data pipelines and workflows (Python, Airflow/Cloud Composer) so they're reliable, fast, and easy to change
• Shape our data models: Use BigQueryand Cloud Spanner to design wellstructured, highperformance datasets for analytics and machinelearning use cases

• Collaborate on quality inspection algorithms in challenging applications for factory environments
• Investigate potential of foundation models for industrial quality inspection
• Investigate XAI algorithms for Vision Language models

• Leading the architecture discussion for flexibility to deliver seamless business solutions for the Energy Retail Segment
• Collaborating with business stakeholders to understand requirements and translate them into scalable and effective technical designs

Apply your knowledge of security architecture to help software engineers build secure products and services across a diverse technology stack, including microservices, mobile applications, and cutting-edge AI-driven solutions....

As an AI Research Engineer at Bosch, you will explore a variety of real-world use cases that can significantly benefit from cutting-edge Large Language Models (LLMs), end-to-end trained ADAS systems, and AI agents....

Drive the adoption and effective use of AI solutions (e.g., Azure AI, Copilot) to optimize internal processes and enhance employee productivity...

• Support product discovery by researching insurance-relevant risk datasets (e.g., natcat hazards, vulnerability, claims) and analysing market and regulatory trends.
• Translate insurance workflows and operational needs into clear product requirements, concepts, and user stories.

Lead SOC engineering initiatives including SOC automation, SIEM–IT Service Management (ITSM) integration, and threat framework mapping and adoption (e.g., MITRE ATT&CK)....

Ownership of Data Assets & strategy: Own pre-training, evaluation, and meta-data including proprietary, open-source, and synthetic datasets. Develop and execute vision....

• Unique opportunity to contribute to the development of the SAP-RPT model family
• Design, develop and manage tools and data pipelines that enable the processing of tabular data at scale

As part of our team, you'll help push the state-of-the-art in model scalability by contributing to the core systems for our products....

• Enable and optimize CI/CD practices to ensure reliable, automated software delivery.
• Own and maintain development and test environments, ensuring stability, scalability, and reproducibility.
• Drive automation across build, test, deployment, and release processes.

• Build Fullstack Features: Implement user-facing features using modern frameworks and connect them to backend APIs.
• Backend Development: Contribute to Python-based backend services (Django REST or FastAPI), including API endpoints and business logic.