Machine learning állások, munkák egyetemi végzettséggel

What You'll Do: We are seeking a skilled Cyber Detection Engineer to join our team and work on cutting-edge cloud and container security projects. This role offers the opportunity to develop and implement strategies to detect anomalous or malicious behavior in Public Cloud environments such as AWS,...

• Operating and extending technical and structural infrastructure components for highly secure environments, both for internal platforms and customer-facing projects
• Supporting security accreditation processes and administrating relevant systems and security technologies

• Operate and maintain complex Hyperscaler/SAP Cloud Infrastructure networks, track significant problems, monitor performance, and perform upgrades as required.
• Engage with customers in network architecture discussions to meet their security requirements.

You build and maintain end-to-end ML pipelines using workflow orchestration tools: from data ingestion to distributed training, evaluation, model compilation, and deployment-ready artefacts....

• Lead the strategic evolution and rationalisation of a large, complex Dynamics 365 platform, ensuring it becomes more efficient, maintainable, and accessible for integration with other systems.
• Identify opportunities to retire or simplify processes, while modernising architecture and functionality.

Build enterprise cloud infrastructure that provides European data sovereignty and hyperscaler-grade capabilities. You'll work on SAP Cloud Infrastructure, solving complex distributed systems challenges at scale: multi-region networking, container orchestration, storage systems, and the APIs that...

Taking responsibility: Platform Engineering & Governance: Design, implement, and maintain core Microsoft 365 services (Exchange Online, SharePoint, Teams, OneDrive); define and enforce governance policies that balance user productivity with enterprise control. Security & Identity...

Set up and integration of complex robotic systems for mobile manipulation tasks...

AI Technical Leader & Head of Business Development Job Title: AI Technical Leader & Head of Business Development Location: Geneva, Switzerland (on-site, principal workplace) Job Type: Full-time, permanent (100%) Industry: Artificial Intelligence / Fintech / Decentralized Finance Experience...

Use your Kubernetes and Go expertise to contribute to Gardener's core components – the foundational building blocks that enable Gardener to manage thousands of Kubernetes clusters across various cloud providers....

• You independently assess and underwrite complex biometric risks, with a strong focus on medical and financial risks as well as special risks (occupation, sport, travel).
• You build and maintain strong client relationships and work closely with international offices and subsidiaries.

• Leading engineering projects incl. team lead for vehicle power net testing & vehicle diagnostic
• Plan, execute, document, publish & present status & results to internal & external customers
• Use tools like CANalyzer, CANoe, and data loggers to collect and analyze system data

• Contribute to building and maintaining robust Java microservices that power creative tools
• Explore cloud technologies and dive into AWS infrastructure alongside experienced developers
• Help ensure quality and reliability through testing and providing fresh perspectives on our solutions

Shape engineering strategy with broad organizational impact, influencing long-term architectural direction across multiple teams and products. Drive platform evolution, identifying common pain points and leading scalable, reusable solutions across systems. Engage in deep architectural discussions,...

• An opportunity to build the foundation for next-generation products
• The possibility to conceptualize and implement interaction design and to prototype with new hardware and sensors
• Mentorship by experienced PhD-level experts
• The option to write a Master's thesis following your internship

• Design, build and operate scalable test automation frameworks for enterprise environments
• Drive and consult on test automation strategies for our customers
• Develop and maintain automated test cases (e.g. regression, integration, system and acceptance tests)

• Develop and adapt bioinformatics approaches for the analysis of human genomic and epigenomic data sets
• Design and implement analysis workflows for the analysis of long-read whole-genome sequencing and targeted short-read sequencing (hybridization capture, MeDIP-seq) data