We programozó állások Németországban (programozó, fejlesztő)

Design and implement scalable, secure, and maintainable fullstack solutions for AI-enabled applications and platforms, including components that leverage LLMs to enable advanced user interactions and automation...

• Prepare large-scale automated driving datasets for training and evaluation purposes.
• Contribute to the development and maintenance of the coding framework for data processing, model training, and validation of end-to-end driving systems.

• 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

• Become familiar with our previously developed neural network superstructure for learning iterative algorithms
• Extend the superstructure to tackle AC-PF problems of different complexities and assess its convergence in inference
• Investigate scaling and performance bottlenecks

As part of our team, you'll help push the state-of-the-art in model scalability by contributing to the core systems for our products....

Directly impact your team's tech scope: work hand in hand with PM and EM to manage product technical roadmaps and dependencies to minimise technical debt....

Solution Development: Design and develop customised solutions within Salesforce to meet project objectives and business goals, ensuring robust functionality and seamless user experiences....

In 18-24 months, you will go through various stations in Germany and abroad, taking on responsible tasks in the areas of application, software services, software and function development (requirements engineering, function development, validation and verification, virtualization, big data, and...

• Develop and optimize data pipelines and algorithms within the Snowflake environment.
• Manage code repositories, automate deployment processes, and collaborate with team members using Azure DevOps for continuous integration and machine learning model improvement.

• Design, develop, and maintain applications based on the Angular framework
• Define and implement frontend solution strategies across multiple applications and user groups
• Collaborate with UX designers to plan UI designs, develop interaction concepts, and ensure usability and performance

• You design, build and run scalable cloud-native applications – from distributed Spring Boot microservices to modern Angular frontends
• You create clean, well-structured REST APIs and event-driven systems (SNS/SQS) that power seamless user experiences

• You will contribute to improving our foundation recommender system
• Your role involves exploring and evaluating new machine learning methods, including applications of LLMs for recommender systems
• Expect to support personalized CRM communications (push notifications, in-app messages, newsletters)

• Build Fullstack Features: Implement user-facing features using modern frameworks and connect them to backend APIs.
• Backend Development: Contribute to Python-based backend services (Django REST or FastAPI), including API endpoints and business logic.

• Develop computer vision models to analyze surgical videos, including action recognition, instrument usage, and relevant interactions
• Build and annotate a suitable dataset in close collaboration with other project staff; develop annotation and quality-assurance tools

You will design and deliver end-to-end ADAS AI models such as object detection, behavior prediction, and trajectory planning - from data analysis and model design to SOP-ready release....

• You design and implement a cloud-native, multi-tenant and secure asset monitoring platform for distributed fiber optic sensing solutions
• You build robust, secure and observable platform components, data models, interfaces and APIs

to generate and harmonize user-friendly, standardized data analysis pipelines for a variety of computational tasks, including, but not limited to, mutation calling, bulk and single-cell RNA-seq analysis, ChIP-seq / Cut&Run analysis, CRISPR screen analysis, and DNA barcoding analysis,...

- development and parameterization of machine learning interatomic potentials - implementation of new algorithms in scientific software packages - generation of training data using electronic structure calculations, atomistic simulations - presentation of scientific results at conferences and in...

You design and build high-performance search and query pipelines over PB-scale MDF4 and MCAP data lakes, enabling ML engineers to find relevant driving scenarios, sensor conditions, and edge cases across billions of records in seconds....

You build and maintain end-to-end ML pipelines using workflow orchestration tools: from data ingestion to distributed training, evaluation, model compilation, and deployment-ready artefacts....