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

• Conduct security assessments, including vulnerability scanning, penetration testing, secure code reviews, and reverse engineering of applications and products
• Perform threat modeling and security risk assessments for software, connected devices, and cloud-based service

• Active partnership with sales and project managers to estimate, design, develop and deliver solutions
• Continuous communication with domain experts and product owners to understand core business needs and goals to synthesize requirement and quality standards

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....

Design, train, and evaluate machine learning models for manufacturing use cases such as quality prediction, anomaly detection, predictive maintenance, and process optimisation, covering the full ML lifecycle from problem definition to performance tuning....

• Service-level analysis of modular cloud software
• Mapping APIs, configuration flows, service dependencies, database usage, and operational assumptions of OpenStack-style services and surrounding components

Assisting in the construction of a shareholder-level database of video game franchises, including the collection and coding of ownership information from financial databases, corporate filings, and other publicly available sources...

• Industrialization of AI-assisted engineering workflows for Meridian
• Packaging repeatable patterns supporting codebase intake, dependency extraction, build triage, documentation generation, and technical evidence creation across cloud software work packages

• Architect cloud-native AI applications integrating LLMs vector search and real-time data
• Design end-to-end web solutions from frontend to backend
• Implement RAG pipelines model serving and AI agents in production
• Lead cross-functional teams (Full-stack AI Data)

• Work on potential AI and/or digital twin features for future medical devices 
• Design solutions for computer vision problems towards advanced biomedical visualisations 
• Evaluate and refine your approach on real-world data 

• Development and integration of state-of-the-art machine learning algorithms for future ophthalmic and other medical devices
• Gain hands-on experience with multiple neural signal modalities

• 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 use cases and configure security tools and technologies (e.g. SIEM, xDR) to detect security events and potential incidents
• Participate in Security Operations & alert monitoring: conducting incident assessments, determine impact and root causes, provide reports and recommendations

• 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.

• Developing concepts for surgical 3D scene understanding and computer-assisted surgery, with a focus on 4D Gaussian Splatting, stereo and surface reconstruction, and multimodal sensor fusion
• Evaluating concepts on curated datasets and in own lab experiment settings

• 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

• Build and maintain scalable cloud infrastructures using modern services and best practices
• Proactive detection, analysis, and fixing of vulnerabilities and performance bottlenecks in cloud environments

• 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

Lead the strategic development and continuous optimization of data management processes for one of Germany's largest population-based cohort studies...

• Designing, developing, and evaluating machine learning models and algorithms
• Working closely with data science peers and cross-functional stakeholders to translate business needs into actionable AI solutions aligned with strategic objectives

• Own the end-to-end forecasting and price-elasticity models at the core of our pricing engine — from feature and model research through evaluation, deployment, and continuous monitoring
• Scale the forecasting architecture to meet growing demand for granular, product-level forecasts