Python programozó diákmunka állások, munkák programozó, fejlesztő kategóriában

• Design, develop, and implement complex, scalable Lakehouse solutions on the Databricks platform across major cloud environments (Azure, AWS, or GCP)
• Design, build, and optimize modular data pipelines using Delta Lake to ensure data efficiency, reliability, and quality

• Further development and configuration of continuous integration in Gitlab and python
• Commissioning of cloud infrastructure
• Data evaluation and creation of dashboards
• Implementation of AI agents

• Contribute to the development of electronics, assemblies and control systems for measuring machines
• Support the team with development, documentation, organizational and purchasing tasks

• Contribute to the development of electronics, assemblies and control systems for measuring machines
• Support the team with development, documentation, organizational and purchasing tasks

• Contribute to the development of electronics, assemblies and control systems for measuring machines
• Support the team with development, documentation, organizational and purchasing tasks

• 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.

• Investigate and resolve data inconsistencies across complex end-to-end data pipelines
• Automate complex analytics across large datasets to validate outputs and identify anomalies or inconsistencies
• Debug pipeline failures and improve overall pipeline robustness

• Translate R&D business and user requirements into effective system, process, and automation solutions
• Design, implement, test, and continuously improve automated workflows, AI-augmented data flows and AI Agents
• Ensure stable data flows, high data quality, and reliable system operations

• Build agent loops and orchestration: tool use, structured outputs, business-rule enforcement, graceful failure
• Build the integration layer (via MCP) that lets agents securely call backend systems and business APIs
• Render model output into live, streamed, accessible UI via generative-UI protocols

• Build agent loops and orchestration: tool use, structured outputs, business-rule enforcement, graceful failure
• Build the integration layer (via MCP) that lets agents securely call backend systems and business APIs
• Render model output into live, streamed, accessible UI via generative-UI protocols

• Design necessary data models and transformations to curate raw data.
• Develop, optimize and maintain existing data models, pipelines, and transformations to support analytics, reporting, and AI use cases such as but not limited to curating, transforming, annotating and modeling data.

• Development of APIs for electrolysis systems and analysis devices
• Implementation of autonomous process control
• Conceptualization and implementation of degradation models for electrolysis
• Studying performance and degradation of electrolysis in dependence on different operating modes

ARE YOU PREPARED FOR THE FUTURE? AI, AI SIR! Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then harness the AI trends and...

• Operation, maintenance, and support of the demonstrator during test campaigns and demonstrations
• Extension and maintenance of the state machine orchestrating the robot's behavior
• Maintenance and improvement of the motion planning stack

• Client-facing communication
• Participation in pre-sales discussions
• Collaboration with sales and customer success teams
• Communication with clients’ technical teams
• Solution design and configuration of data labeling and processing pipelines

• End-to-end AI solution ownership from problem definition through prototype validation and production support
• Partnership with product managers and business stakeholders to translate real-world problems into data science and AI initiatives

• Management of end-to-end software release process including branch management
• Software version control
• Release note documentation
• Communication with internal and external collaborators
• Enhancement of CI/CD pipelines for release automation
• Defect logging and tracking for releases

Reimagine AI-based engineering: You collaborate closely with domain experts from international corporate research departments and business units to develop novel agent-based approaches towards engineering, addressing Bosch's extensive product and service portfolio....

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....

Partner with Marketing: Act as a strategic partner to the Marketing organisation and advocate for data-driven decision-making by effectively communicating AI strategy and its alignment with business objectives....