Python developer állások, munkák egyetemi végzettséggel

• CI/CD pipeline-ok tervezése, fejlesztése és karbantartása (pl. Terraform, Jenkins, GitLab CI),
• SonarQube és Nexus feladatok elvégzése,
• Portainer karbantartása, továbbfejlesztése,
• Docker-ben történő feladatok elvégzése, rendbe rakása, konténerek optimalizálása,

• AI-Native Infrastructure: Modern, GPU-intenzív AI/ML keretrendszerek szoftveres alapjainak megtervezése és kiépítése.
• Deep Containerization: Komplex Docker image-ek faragása, kifejezetten GPU-kompatibilis, AI workload-specifikus erőforráskezelésre (NVIDIA-docker, CUDA optimalizáció).

• Stratégiai tervezés: Számítógépes kémiai megközelítések kidolgozása a gyógyszerkutatási portfólió támogatására.
• Célpont-értékelés: Új biológiai célpontok vizsgálata (szekvencia-illesztés, 3D modellezés: homológia, AlphaFold), biológiai és szabadalmi források kutatása.

• Jira projektek, workflow‑k, mezők, képernyők és jogosultságok karbantartása
• Confluence adminisztráció: tárhelyek, jogosultságok, sablonok kezelése
• Jira–Confluence integrációk, automatizációk, webhookok létrehozása
• Atlassian licencek és felhasználók kezelése (on/offboarding)

• Develop and operationalize solutions across classical AI/ML/DL and generative AI use cases
• Build, evaluate, and optimize machine learning and deep learning models for business applications
• Integrate data and AI services from APIs, third-party platforms, cloud services, and internal systems

• Design, implement, and maintain data warehouse solutions
• Build robust ETL pipelines to ingest and transform data from various sources into target storage (cloud, data lake, warehouse), ensuring data integrity

Writing reusable, testable, and efficient code mainly in Python Delivering great user experience by the development of great user interfaces Handling security and data protection professionally and precisely Providing technical solutions and implementing new software features collaboratively...

Scalable Data Pipelines: Design, build, and operate automated pipelines on Apache Airflow to transform largescale automotive datasets reliably and on schedule....

• Keep data moving: Build, run, and refine data pipelines and workflows (Python, Airflow/Cloud Composer) so they're reliable, fast, and easy to change
• Shape our data models: Use BigQueryand Cloud Spanner to design wellstructured, highperformance datasets for analytics and machinelearning use cases

• Design, operate and continuously improve the infrastructure for our SaaS solutions.
• Supporting and evolving our service orchestration platform based on HashiCorp Nomad and Consul.
• Manage configuration, patching and lifecycle of operating systems, middleware and services.

Development of thorough conceptual and practical understanding of important investment problems Driving new research and product capabilities Guidance of implementation across multiple development teams Conducting and publishing applied research on relevant and timely market developments Engagement...

• Conduct research and support the team on topics related to climate economics, biodiversity, and energy transition
• Assist in the preparation, data collection, aggregation and analysis of research topics
• Prepare internal and external communication materials related to our research

• Manage and scale our Teleport infrastructure for secure access to servers, databases, and Kubernetes clusters.
• Develop and maintain automated Identity and Access Management (IAM) workflows within AWS.
• Implement and improve Just-In-Time (JIT) access solutions to reduce our permanent attack surface.

Where you belong: Where you belong: ...

• Conduct research and support the team on topics related to insurance, wealth, AI, sustainability, and geopolitics
• Assist in the preparation, data collection, aggregation and analysis of research topics
• Prepare internal and external communication materials related to our research

You design and develop next-generation architecture at the intersection of multi-modal perception, foundation models, behavior learning, and end-to-end autonomous driving....

• Design, implement, and manage scalable and secure cloud infrastructure using Kubernetes and Azure Cloud
• Develop and manage infrastructure using Terraform and Infrastructure as Code
• Design, implement, and maintain CI/CD pipelines using Azure DevOps and GitHub

• Manage and scale our Teleport infrastructure for secure access to servers, databases, and Kubernetes clusters.
• Develop and maintain automated Identity and Access Management (IAM) workflows within AWS.
• Implement and improve Just-In-Time (JIT) access solutions to reduce our permanent attack surface.

• Integration and programming of robotic manipulators (e.g. UR, Franka, or similar collaborative arms) and motion systems (e.g., gantries) in real operational environments
• Sensor integration and closed-loop feedback control, including force/torque sensing, vision systems, and real-time error detection

Implement and maintain the core software platform for self-driving lab systems, including the service layer, internal APIs, and data flow between subsystems...