Senior python developer állások, munkák egyetemi végzettséggel

• Tapasztalat gépi látás vagy AI fejlesztésben
• Magabiztos C++ és/vagy Python tudás
• Analitikus gondolkodás és önálló problémamegoldás
• Innovatív szemlélet és csapatmunka
• Computer Vision / OpenCV
• Deep Learning / PyTorch
• 2D–3D képfeldolgozás
• CNN / Vision Transformer
• Robotika / ROS / ROS2
• C++ / Python

• Translate client needs into technical solutions 
• Design data-driven systems using Databricks and Azure 
• Build ingestion and transformation pipelines using SQL, Python, dbt 
• Automate data workflows 
• Participate in sprint planning and deliver reliable solutions 

• 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).

• automatizálási projektekben való aktív részvétel, beleértve új munkafolyamatok tervezését és kialakítását
• szoftverek és fejlesztési feladatok teljes körű megvalósítása, valamint technikai specifikációk készítése

Coordinate and support institutional data collection related to students, faculty, and research in close cooperation with responsible units, including data cleaning, transformation, aggregation, and validation to ensure accuracy, reliability, and consistency...

Engaging with business & functional partners to understand business priorities, ask relevant questions and scope same into a analytical, data science solution document calling out how application of data science will improve decision making- In depth understanding of techniques to prepare the...

Automatizmusok és rendszerek dolgoznak a háttérben, de az irányt mi adjuk meg: rajtunk múlik, hogyan tervezzük, fejlesztjük és „tanítjuk” őket egy biztonságos, szabályozott környezetben....

• 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

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

• 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.

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

• 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

Own the end to end manufacturing process for avionics assemblies and electrical harnesses, including routing, termination, integration, and acceptance testing....

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...

You define the AI system strategy for ADAS: model architectures, data flows, integration concepts: Grounded in methodological expertise and validated through technical feasibility assessments....

• Ensure state of the art testing across embedded, backend, and frontend domains to ensure high quality software products
• Create the test approach based on business and technical objectives
• Develop the test automation framework in close collaboration with other experts

• 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.

• Cloud Operations: Design, implement, monitor, maintain and optimize the SAP Sovereign Cloud system landscape for Germany.
• Setup of a multi-system landscape architecture and integration aspects between heterogeneous system technologies.

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...

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...