Python developer állások, munkák egyetemi végzettséggel

• Develop, test and implement robotics and automation solutions that support intelligent manufacturing processes
• Design, integrate and validate end effectors, sensors, vision systems and other robotics components for industrial applications

• Design and implement the credit framework for Germany: credit policy, risk appetite, underwriting criteria, decision rules and cut-offs for B2C debt consolidation lending.
• Define the target operating model for credit, including processes, roles, tooling, documentation and governance.

• Developing custom software solutions in the field of image and video processing
• Testing, integrating and verifying the developed software within the overall system
• Designing and further developing library components with a focus on image processing and communication interfaces

As part of our IT Core Infrastructure Services team, you will be an integral pillar of our VMware Cloud Foundation (VCF) rollout and take part in realizing Brainlab's multi-cloud strategy. With your enthusiasm for cloud-native technologies and architectures and in close collaboration with...

• Develop and evaluate concepts for interactive guidance in navigated ENT surgery
• Design and implement proof-of-concept applications for surgical navigation systems
• Apply technologies such as computer vision, augmented reality, machine learning, and human-computer interaction

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...

• Design and build AI agents and workflows that solve concrete business problems
• Take technical ownership of applied AI solutions - from architecture decisions to engineering standards and code quality
• Build enterprise-grade solutions on modern AI platforms, mainly Azure

• You develop the production plan required to meet the service level of our customers.
• You contribute to process improvement and optimization projects.
• Maintain the replenishment strategy at the defined stock level through statistical analysis.

• Together with the team, you drive the development and evolution of vision systems
• You understand, evaluate, and challenge model architectures, neural networks, inference pipelines, and diagnostic toolchains, gradually taking over dedicated development and optimization work packages

• Evaluate, configure, and maintain the AI development tool stack (GitHub Copilot, custom agents, local LLMs).
• Standardise how AI agents interact and integrate with our internal tools, services, and development workflows with MCP.

• The data platform end to end: ingestion, storage, and the query paths that keep millions of records fast on screen. You design it, you build it, you run it in production.
• The platform layer, directly with the CTO: infrastructure, deployments, and the path to production for the whole team.

• Further development of ESO's Requirements Management Tool.
• Support the Configuration & Asset Management for the ELT.
• Automation of hardware configuration and documentation management by using AI/ML.
• Support the Verification Management for the ELT.

• Build and contribute to cloud-native software applications and developer tooling.
• Explore modern technologies across artificial intelligence, AI agents, mobile development, and cloud platforms.
• Automate development workflows to make software and product development faster, simpler, and more reliable.

• Developing multi-scale and multi-modal representation learning methods for scientific imaging data (e. g., SEM, TEM, EBSD).
• Learning representations that are robust to scale changes, modality shifts, and domain differences across instruments and laboratories.

• Development of FPGA/SoC-based digital designs for the control and readout of complex, robust laser systems
• Ownership of the full FPGA/SoC development lifecycle: from requirements definition and system architecture through RTL implementation, simulation and prototyping to a qualified product

The customer's decision problem. Sit with the people who plan today, understand capacities, costs, lead times and the constraints nobody wrote down, and turn it into a model whose answer a plant manager acts on. Inventory, scheduling, supply shortages, order prioritization: the decisions that...

Customer models, end to end. Turn a planning problem, with its capacities, costs, lead times and shift plans, into a model whose answer a plant manager acts on. That includes the data it runs on: ERP and Excel exports, and catching the numbers that cannot be right before the customer does....

• Administer and configure Linux systems and virtual machines
• Set up and maintain services such as DNS, DHCP, NGINX, and Keycloak
• Develop small automation solutions and scripts using Python
• Support vulnerability management and technical security activities

• Work extensively with quantitative datasets: cleaning, processing, validating, and preparing data for analysis
• Conduct statistical analyses, investigate findings, identify patterns, and contribute to the interpretation of results

• Work closely with quantitative datasets: cleaning, processing, running frequencies, building analysis files and identifying patterns that matter
• Prepare chart output and visualisations for client-facing presentations, translating analytical findings into clear, structured stories