Python programmer állások, munkák it tanácsadó, elemző, auditor kategóriában

• Development and clinical evaluation of machine-learning models for the detection of resistance plasmids directly from routine MALDI-TOF mass spectra
• Genomic analysis of carbapenemase-producing Enterobacterales and their mobile genetic elements, using short- and long-read whole genome sequencing

• Technical leadership post-sales for strategic customers in big data project design and implementation
• Identification and driving of new initiatives to turn data into actionable business value aligned with business goals

• Development and testing of concepts for physical AI in surgery
• Exploring how modern AI and computer vision techniques can be employed for surgical scene understanding, synthetic data generation, and robotic automation for surgical tasks

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...

• Develop and evaluate computational models for organoid development, morphology, growth, and response to external stimuli
• Analyze multimodal biological data, including microscopy images, time-lapse recordings, and potentially molecular or experimental metadata

• You understand RABOT's departments, their core processes and our AI tooling (Claude, Claude Code, our data stack) well enough to run a process-discovery session on your own.
• You've shipped your first automation into production — something a team feels immediately.

• 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

You'll deliver the full technical architecture (data model, integration map, deployment topology, security model) for 4+ enterprise HubSpot programs of €150k+ each per year, at Director sign-off quality...

• analyze complex databases, data streams, and large datasets to derive valuable insights and actionable recommendations
• develop, implement, and optimize algorithms and analytical models to improve existing business processes

• Single point of contact for the research faculty and group leaders on specialist IT, data and computing needs
• Assessment of research IT needs and their translation into actionable demands
• Onboarding and key user management: making sure that our researchers can work productively from day one

• Improve and extend the current analytics and AI infrastructure (built around Databricks)
• Drive the data platform by observing the fast Data and AI landscape and bringing in new ideas

• Act as the primary analytical partner for stakeholders in Chartering, Finance, Fleet, or Operations, translating business needs into clearly scoped data solutions.
• Own the roadmap and prioritization of your portfolio of data products in alignment with business priorities.

• 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

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...

• 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.

Build and refine the forecasting models that directly shape our trading strategies and maximize the value of renewable energy in the market....

Independently apply advanced knowledge of security architecture to guide software engineers in building secure products and services across a diverse technology stack, including microservices, mobile applications, and cutting-edge AI-driven solutions....

• Data assets and strategy: Own pre-training, evaluation and metadata assets, shape their strategy and expand them with new data sources.
• Data roadmap and prioritization: Maintain the short- and long-term roadmap, manage the extraction backlog and coordinate dependencies.

• Define test strategies for new features, determining what to cover manually and what to automate.
• Conduct detailed testing of new features, considering how editors will use them. This includes judgment on audio processing quality and fidelity.

• 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