Software development engineer állások, munkák it programozás, fejlesztés területen

As a Product Owner, your role is to maximize the value of the product resulting from the development team's work. Researching, monitoring, and analyzing the market are therefore a key part of your job....

• Take end-to-end ownership of large, business-critical initiatives, ensuring strategic impact and sustainable outcomes.
• Act as a recognized expert, setting technical and architectural standards across complex domains.

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...

• Drive pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Expand the horizon of what is possible by bringing together rich semantic context with large scale business data

• Define and evolve data models for R&D entities
• Design and implement robust data pipelines and automated data quality checks
• Improve traceability and metadata management so data can be understood, trusted, and reused across teams

• Definition and improvement of metrics reflecting product performance, service quality, and operational efficiency
• Analysis of client behavior and service processes to identify trends, bottlenecks, inefficiencies, and drivers of performance

• 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

• Designing and implementing end-to-end data flows from device data ingestion through transformation, storage and consumption
• Defining data models, structures and lifecycle concepts to ensure data quality, consistency and lineage

• 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

• 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

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...

Work in our Data & AI Center of Excellence (DACE) in close collaboration with a diverse team of 45 data scientists and AI engineers from various disciplines...

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...

• Build and maintain backend services and APIs using Java and Python
• Work on event-driven data pipelines based on Kafka
• Take ownership of services end-to-end: design, testing, deployment, monitoring, and iteration
• Ensure code quality, including writing and maintaining automated tests

• 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

• Managing complex database systems within a global technology ecosystem
• Building and managing database hosting capabilities using Infrastructure as Code
• Building database infrastructure platforms with developers
• Providing guidance and tooling to handle distributed systems