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• You will work in our motivated and solution-oriented AI Feature Team using agentic development methods and with a high degree of personal responsibility.
• You will design, develop and deploy scalable AI-enabled features in our products that are used by more than 100’000 customers.

• As a Working Student Design System / Development (m/f/d/x), you support a team working on the development and maintenance of the Mercedes-Benz AG Web Design System.
• You support the integration and management of design tokens as well as the automation of change processes.

Design, develop, and maintain custom ServiceNow solutions across the platform, leveraging App Engine, JavaScript, Business Rules, Client Scripts, Script Includes, UI Policies, UI Actions, and Flow Designer....

• Design and build CI/CD pipelines at enterprise scale
• Build and maintain a catalogue of reusable, pre-approved infrastructure modules and deployment patterns
• Work with containerization and orchestration
• Set up observability including logging, metrics, tracing

• Designing, building and running ML workflows to build and improve our product catalog
• Building evaluation sets and validation logic that catch quality problems before customers do

• Design and evolve cloud environments across AWS, Azure and GCP
• Work on cloud migration, modernization and platform improvement initiatives
• Support cloud cost visibility, transparency and governance activities
• Identify opportunities to improve cloud efficiency, utilization and spending

• Design and evolve AWS-based cloud platforms and infrastructure environments
• Support cloud migration and modernization initiatives
• Work with client architecture, engineering and security teams to define practical cloud solutions

• Rapidly build demos, prototypes, proofs of concept, and MVPs that bring AI use cases to life for clients and account teams.
• Translate client problems into working technical concepts using models, agents, data, workflows, APIs, integrations, and user experience patterns.

• Új projektek DevOps-, infrastruktúra- és platformoldali támogatása a fejlesztési és üzemeltetési követelmények egyeztetésétől az éles bevezetésig
• CI/CD-folyamatok tervezése, kialakítása és fejlesztése valamennyi alkalmazási környezethez Git-alapú működéssel és automatizált deploymentekkel

• Supporting business and marketing decisions with data-driven solutions
• Developing predictive models such as churn scoring to drive retention offers and product propensity scoring
• Translating business needs into actionable ML and AI solutions across marketing, customer care, and network operations

• Design and develop scalable Salesforce solutions across Sales Cloud, Service Cloud, and Health Cloud
• Build and enhance user experiences using Lightning Web Components and Aura Components

Collaborate closely with customers to understand their business and translate requirements into high quality software. Expect to visit our customers around 2-3 times per week....

Collaborate closely with customers to understand their business and translate requirements into high quality software. Expect to visit our customers around 2-3 times per week....

• Build and improve the WebRTC media pipeline across web, desktop and mobile clients, including audio, video, screen sharing and data channels.
• Develop and scale our Selective Forwarding Unit (SFU) and signaling services to support large meetings, webinars and breakout rooms.

• Contribute to embedded software architecture and design within multidisciplinary project teams
• Implement firmware and software for microcontrollers and System-on-Modules (SoM) based consumer electronics products, across bare-metal and RTOS environments

You develop signal processing solutions for various sensor heads used in non-destructive testing (NDT) of offshore subsea assets — covering both real-time data processing to support onboard autonomy and downstream analysis and evaluation....

• Technical onboarding of TelCo and OSS applications onto Kubernetes-based platforms
• Contribution to Site Reliability Engineering through automation of operational tasks and creation of enhancements

• Integration of security best practices into the DevOps lifecycle
• Implementation and continuous improvement of security services, CI/CD pipelines, and cloud infrastructure with focus on automation and scalability

• Leadership in design, development, and continuous improvement of CaaS and PaaS platforms built on Kubernetes ecosystem with backend development in Golang
• Architecture and implementation of new platform features ensuring scalability, reliability, and security

• Adatforrások integrálása a vállalat új Data Lakehouse platformján
• Adatbetöltési folyamatok fejlesztése a Data Lakehouse platformon
• Skálázható adatfeldolgozó folyamatok fejlesztése és optimalizálása
• Adattranszformációk fejlesztése és optimalizálása