Data engineer állások, munkák it programozás, fejlesztés területen

Lead business development activities in field of AI and Data for Financial Services sector, including preparing client proposals and driving strategic initiatives....

Contribute to our Text Analytics and Generative AI projects - from data preparation and analysis through model and prompt evaluation to the development of new features....

• Take ownershipof the pricing tool used by the commercial department
• Develop and optimize end-to-end pricing strategies, including algorithm development, implementation, and continuous performance monitoring

• Architect and implement scalable AI/ML solutions on Azure or GCP
• Design and build AI solutions for sales use cases such as automated RFP/RFI ingestion, classification, and response generation
• Design and build AI solutions for intelligent document understanding

• Executing system data maintenance and administrative activities in Cornerstone and relevant learning management systems
• Providing non-systems related learning process support

• As a Bachelor's Thesis Student – User Feedback & Data Analytics (m/f/d/x), you will support the team in analyzing existing user research findings and evaluating user feedback.
• You will process and analyze existing quantitative user data to identify relevant insights.

• Development and implementation of interfaces between clinical data sources, medical knowledge bases, and local LLM/agent-based systems
• Development of high-performance data pipelines for loading, structuring, validating, and further processing interoperable health data

• Design and build AI agents and workflows that solve concrete business problems
• Take technical ownership of applied AI solutions - from architecture decisions to engineering standards and code quality
• Build enterprise-grade solutions on modern AI platforms, mainly Azure

• Formulate a focused research question in alignment with business and academic supervisors
• Conduct a structured analysis of relevant supply chain, planning, or transformation processes
• Develop and validate a practical, data-driven solution for the defined business challenge

• Take ownership of IT risk, business continuity and operational resilience activities.
• Assess complex IT, vendor, solution and process-related risks and provide clear, actionable recommendations.

• Each project starts with an open decision problem and incomplete ERP and Excel data. The customer needs to know early which result the available data supports.
• We run several customer projects in parallel, without a standard process for kickoff, scoping, data and first result.

Lead the maintenance, development and continuous enhancement of the Antimicrobial Sales and Use (ASU) Platform and its associated digital tools and processes, including visualisation tools and Power BI dashboards supporting surveillance outputs....

• Architect Zero-Trust environments for LLM-based solutions
• Implement private networking (Private Link), granular RBAC (Entra ID), and automated policy enforcement
• Ensure compliance with enterprise security and audit standards
• Bridge Data Science and Engineering

• Dedication towards undisturbed business activities by committing to Service Level Agreement
• Ensuring technological architecture meets user requirements
• Executing day-to-day activities according to the agreed service level
• Following instructions of the Team Lead regarding daily work coordination

• Define and further develop the Snowflake platform roadmap in alignment with enterprise data strategy and business priorities
• Establish the platform vision and manage priorities, demand intake and business requirements to maximize business value and support strategic objectives

• 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

• Leading and mentoring a team of ML engineers
• Owning model quality end-to-end from experimentation to production-ready artifact
• Conducting regular 1-on-1s for career development and feedback
• Removing blockers and ensuring team well-being

• Developing multi-scale and multi-modal representation learning methods for scientific imaging data (e. g., SEM, TEM, EBSD).
• Learning representations that are robust to scale changes, modality shifts, and domain differences across instruments and laboratories.

Execute customer, contact and pricing master data creation, updates, and corrections by applying defined request workflows, validation checks, and approval rules based on agreed data standards to support reliable performance of daily commercial activities...

• Research and identify suitable prediction approaches, including kinematic and dynamic models, Kalman filters, regression techniques, data-driven methods, and hybrid approaches
• Implement prototypes in Python and integrate selected methods into C++ applications where appropriate