Python programozó diákmunka állások, munkák it programozás, fejlesztés területen

• End-to-end penetration testing engagements across web applications, APIs, cloud environments, binary applications and internal/external infrastructure
• Simulation of real-world attacks to identify security risks before they become threats

• Design, develop and maintain software for automated measurement, equipment control and data acquisition
• Build scalable desktop applications and software architectures for engineering and manufacturing

• Design, develop, and maintain applications.
• Optimize and enhance existing applications and infrastructure.
• Ability/interest to work with machine learning.
• Collaborate and communicate with various teams within the company.
• Ensure all applications reflect our internal policies and standards.

• building the data infrastructure
• designing and implementing the neural-process architecture
• you will develop scalable data pipelines for heterogeneous environmental datasets
• you will design and implement neural-process-based architectures for spatio-temporal prediction

• You will build customized automation solutions for ZEISS customers that need support for special electron microscopy applications
• Typically, these solutions encompass a completely automated electron microscopy workflow from image acquisition to the image analysis

• Running and evaluating atmospheric chemistry transport models
• lnterpreting meteorological data
• designing and implementing the geostatistical interpolation methods
• You will apply chemistry transport model systems and calculate ultrafine particle concentrations around Frankfurt airport

• Develop and execute ALTANA's procurement transformation roadmap using digital technologies, data and AI to improve performance and value creation • Implement transformation initiatives across source-to-contract, supplier management and procure-to-pay; increase productivity via automation,...

• Support architecture discussions, workshops and decision-making processes
• Create stakeholder-ready presentations and architecture artefacts
• Help drive Data & AI governance and architecture initiatives
• Collaborate with engineering, business and data teams across the organization

• Design, develop, and maintain automated test suites as code using Java
• Create BDD-based automated test scenarios using Cucumber against REST APIs
• Automate API testing for OAuth 2.0 and OpenID Connect (OIDC) authentication and authorization flows using RestAssured or similar tools

• Design and build secure infrastructure foundation for AI-assisted software development
• Operate Kubernetes environments hosting AI engineering tools and services
• Implement GitOps and Infrastructure as Code patterns for provisioning and configuration

• 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

• 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

• Ownership of detection capabilities end to-end from problem framing and data through experimentation to production models and telemetry
• Building and maintaining data pipelines including sample sourcing, collection, labeling workflows, feature extraction, and versioned training and evaluation datasets

• Architect Zero-Trust environments for LLM-based solutions
• Implement private networking (Private Link), granular RBAC (Entra ID), and automated policy enforcement
• Ensure compliance with enterprise security and audit standards
• Bridge Data Science and Engineering

• Nagy teljesítményű szerverek és rack rendszerek tesztrendszereinek tervezése
• Nagy teljesítményű szerverek és rack rendszerek tesztrendszereinek fejlesztése
• Nagy teljesítményű szerverek és rack rendszerek tesztrendszereinek üzemeltetése

• You will play a crucial role in bringing new ML and CV functionality to our new revolutionary digital microscopy online platform at ZEISS
• Together with our team of software developers and machine learning engineers you will work on improving our automated machine learning and computer vision toolset

• CI/CD-folyamatok tervezése, felépítése és üzemeltetése (Azure DevOps, GitLab CI, GitHub Actions vagy Jenkins)
• Infrastruktúra kezelése kód formájában (Terraform, Bicep/ARM, Ansible)
• Konténeres környezetek felépítése és üzemeltetése (Docker, Kubernetes / AKS)

• Design and implement modern data architectures and lakehouse solutions
• Provide technical leadership throughout the project lifecycle
• Collaborate with business stakeholders
• Create effort estimations
• Provide technical expertise during the pre-sales phase
• Mentor 3-6 person project teams

• Developing and enhancing simulation environments using NVIDIA Omniverse Isaac Sim
• Integrating and evaluating the open-source autonomous driving framework Autoware
• Modeling autonomous logistics vehicles, sensor systems, and operational environments

• Design, develop, and implement complex, scalable Lakehouse solutions on the Databricks platform across major cloud environments (Azure, AWS, or GCP)
• Design, build, and optimize modular data pipelines using Delta Lake to ensure data efficiency, reliability, and quality