Python developer állások, munkák egyetemi végzettséggel

• Define and evolve data models for R&D entities
• Design and implement robust data pipelines and automated data quality checks
• Improve traceability and metadata management so data can be understood, trusted, and reused across teams

• Make optimization runs fast enough that customers iterate in minutes, not hours — across problems an order of magnitude larger than today
• Build the data backbone: ingest SAP/ERP exports, Excel reality, and operator knowledge into a clean, versioned, traceable model layer

• Designing and implementing end-to-end data flows from device data ingestion through transformation, storage and consumption
• Defining data models, structures and lifecycle concepts to ensure data quality, consistency and lineage

• Design necessary data models and transformations to curate raw data.
• Develop, optimize and maintain existing data models, pipelines, and transformations to support analytics, reporting, and AI use cases such as but not limited to curating, transforming, annotating and modeling data.

• Development of APIs for electrolysis systems and analysis devices
• Implementation of autonomous process control
• Conceptualization and implementation of degradation models for electrolysis
• Studying performance and degradation of electrolysis in dependence on different operating modes

• Development and process engineering design of electrochemical CO₂ conversion processes
• Transfer of laboratory results into robust scale-up concepts for pilot scale
• Preparation and further development of mass and energy balances
• Development, application, and interpretation of process simulations

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

ARE YOU PREPARED FOR THE FUTURE? AI, AI SIR! Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then harness the AI trends and...

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...

ARE YOU PREPARED FOR THE FUTURE? AI, AI SIR! Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then harness the AI trends and...

Your responsibilities will encompass overseeing the ongoing operations and expansion of the ESC, 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...

• Build and maintain backend services and APIs using Java and Python
• Work on event-driven data pipelines based on Kafka
• Take ownership of services end-to-end: design, testing, deployment, monitoring, and iteration
• Ensure code quality, including writing and maintaining automated tests

Build enterprise cloud infrastructure that provides European data sovereignty and hyperscaler-grade capabilities. You'll work on SAP Cloud Infrastructure, solving complex distributed systems challenges at scale: multi-region networking, container orchestration, storage systems, and the APIs that...

Your responsibilities will encompass contributing to the smooth operation of the ESC, 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...

Reimagine AI-based engineering: You collaborate closely with domain experts from international corporate research departments and business units to develop novel agent-based approaches towards engineering, addressing Bosch's extensive product and service portfolio....

As a 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....

• Manage, maintain, support, and upgrade facility applications and collaboration platforms
• Ensure stable and reliable operation of services, including monitoring, troubleshooting, and incident resolution

Design, develop, implement and own cloud network products, services, and solutions to improve the security, reliability, and connectivity of the N26 unified network infrastructure and systems....

• Ensure reliability and uptime of our production systems (Kubernetes, networks, storage)
• Automate infrastructure using Terraform, Ansible, Puppet, etc.
• Operate and evolve monitoring and observability with Prometheus, Grafana, Loki, Cribl.io

• Design and implement automation of data platform
• Develop and maintain data platform infrastructure using Terraform
• Implement and manage CI/CD pipelines for automation of data and AI processes and pipelines
• Automate provisioning, configuration, and monitoring of resources in AWS