Python programmer állások, munkák egyetemi végzettséggel

In close collaboration with Process Owners you analyze existing processes, identify AI‑ and agent‑based use cases, and design future‑oriented process solutions by integrating available AI platforms, technologies, agents, data, and knowledge sources....

• Hands-on development of applications for in-line metrology & inspection in semiconductor manufacturing by using ZEISS' FIB-SEM technology.
• Operate the FIB-SEM systems in the customers' clean room
• Be part of the engineering team and help development of FIB – SEM technology.

Your responsibilities will encompass overseeing the launch of the ESC in 2025, working closely with global AWS teams, and influencing the evolution of AWS services and technology. A typical day in this role involves collaborating with technology leaders, contributing to the enhancement of...

As a (Sr.) Quality Lab Engineer, you will define reliability test systems, lead the development of required electronic boards, perform electrical and reliability testing, optimize test methods, train operational staff, and oversee after‑care activities such as service and maintenance....

• As a Working Student AI Research Engineer for SLM Optimization (m/f/d/x), you will support the team in developing, refining, and managing caching mechanisms for Small Language Models (SLMs).
• You will contribute to the training and further development of models for cache prediction.

· Proprietary MCX Solution and Platform Maintenance · Linux Server Administration · IP Network Analysis and troubleshooting · Analyze SIP signaling and resolve incidents related to VoIP services. · System Monitoring and Log Collection and Analysis · Customer technical support and issues management...

You architect cloud and hardware solutions to scale AI workloads across GPUs and accelerators, while optimizing storage and networking for throughput, resilience, and cost efficiency....

Security Architecture &; Cloud Guardrails: You will take technical ownership of the security architecture and controls across our Azure environment - from Defender for Cloud and Microsoft Sentinel to Log Analytics. You will build and maintain the corresponding guardrails directly in Terraform....

• Development of mathematical models to describe cellular dynamics
• Implementation of the models in a suitable programming environment
• Simulation of cellular dynamics within complex 3D structures
• Application of the computer model as a virtual bridge between in vitro and in vivo studies

• Development and implementation of interfaces between clinical data sources, medical knowledge bases, and local LLM/agent-based systems
• Development of high-performance data pipelines for loading, structuring, validating, and further processing interoperable health data

• Owning the technical architecture on cloud and platform programmes from design through to production, across AWS and Azure.
• Leading engineering teams on delivery, typically three to eight engineers, through mentoring, code review and technical decision making rather than line management.

• 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.

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...

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

• 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.

• 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