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Programming & data analysis in Python: Contribute to the development and optimization of software solutions for automation and data processing. Support the analysis and interpretation of datasets to enable data-driven decision-making...

• Help to keep 3GPP specification version up to date in our device software by extending our spec-parsing Python tool
• Work on our code generation tooling for multiple programming languages (migration to a Rust-based replacement)
• Support the extension of our communication framework, based on C++

• Lead and coordinate international innovation projects across AI & Engineering
• Build trust-based partnerships with clients and researchers
• Translate complexity into clarity – and ideas into business value
• Mentor teams and foster a culture of excellence

• Ownership of defined project workstreams
• Support of engagement planning
• Work closely with clients to understand business challenges
• Support design of business-aligned IT strategies, operating models, and transformation roadmaps
• Production of structured, executive-ready deliverables

• Commissioning and configuring software systems during equipment installation to ensure seamless operation.
• Diagnosing and troubleshooting software and system issues to minimize downtime and improve efficiency.

• Manage the IT Product Lifecycle for new and existing custom applications
• Take ownership of all activities related to the upcoming Mauser Customer B2B Portal
• Define and standardize the technology stack for custom application development

• Design, build, and launch AI and generative AI solutions
• Create scalable data pipelines and model deployment workflows
• Develop large-language-model and multi-agent products
• Set up automated testing, deployment, monitoring, and improvement

• Design architecture for digital services ensuring compliance with policies and fit into Deloitte environment
• Analyze design patterns, suppliers, products for effectiveness in addressing functional and quality requirements
• Plan estimates for effort and implementation plans during projects

• Lead engagements in Technology Strategy & Transformation Practice
• Build client trust and lead client interactions
• Manage teams including consultants and senior consultants
• Shape technology strategies and transformation programs
• Ensure quality delivery and review deliverables

• Lead and mentor a distributed US team of 13 engineers across AI/ML, cloud backend, frontend, and DevOps.
• Conduct regular 1:1s, manage performance, support career development, and foster a high-trust, continuous-learning team culture.

• Build and develop long-term strategic relationships with leading industrial customers
• Identify innovation opportunities and translate emerging technologies into customer value
• Shape collaborations between industry partners, universities, and research institutions

• Driving strategic technology leadership and digital transformation for clients
• Working across a range of projects including IT strategy, process improvement, architecture planning, M&A IT due diligence
• Assessing client needs through data gathering, stakeholder interviews, and structured analysis

• 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.

• Administration, configuration, and maintenance of Microsoft Dynamics 365 Business Central and Dynamics 365 CRM platforms
• Collaboration with various departments to gather business requirements and deliver tailored Dynamics 365 solutions

• Lead and manage international research programs across AI, Data Science, Simulation, Processes, and Quantum Computing.
• Build and run multi-partner research consortia with world-leading universities, tech networks, and public funding agencies.

• MSSP SOC és egyéb kiberbiztonsági szolgáltatások architekturális és technikai tervezése
• Komplex ügyfélmegoldások architekturális és technikai tervezése
• Műszaki koncepciók kidolgozása
• Megoldási tervek kidolgozása
• Ajánlatok kidolgozása
• Sales és Pre-Sales csapatok szakmai támogatása

• 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

Bridge Communication Between Technical and Business Teams – Act as a translator between data engineers and business stakeholders: understand technical data platform concepts (e.g., data lakes, ETL pipelines, data models) and explain them in business terms, while also translating business data needs...

Solutions Architects work hand in hand with AWS customers to help them make the most of the Cloud. They are at the crossroads of business and technology and engage with organizations at all stages of cloud adoption. Solutions Architects are responsible for creating and presenting technical content...

Together with global process owners, data domain owners and business stakeholders, you establish and continuously enhance enterprise-wide master data lifecycle management for domains such as material master and business partner data...