Python developer állások Németországban (it programozás, fejlesztés)

• Build Data Pipelines: Design, build, and maintain scalable data pipelines for ingesting, transforming, and serving financial and operational data.
• Work with ERP Data: Integrate and model data from ERP systems and finance tools, including accounting, controlling, procurement, revenue, and cost data.

• Implementing signal processing and optimization algorithms in C/C++.
• Testing and comparing the performance of various algorithms, and find their correct parametrization for a given use-case
• Close cooperation with the development team.

• Exciting projects in the field of software development in the aerospace industry
• Many fields of activity in the area of application or hardware-related development
• Participation in the design and development of complex software
• Carrying out different test procedures
• Cooperation in system integration

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....

• You will integrate models that run on edge devices within the infotainment domain.
• Furthermore, you will prototype & build new GenAI experiences, turning ideas into reality as refined features that will be launched to our customers.

- Support NR Signaling Stack CI/CD improvements - Participate in the design of a new CI/CD process - Assist on implementation and integration of a new build framework - Assist in integrating virtual UEs and Open RAN devices ...

• You design data pipelines for ingestion, curation, pseudonymization, and versioning.
• Furthermore, you implement reproducible training and finetuning builds for GenAI edge device models.
• You set up experiment tracking and artifact registries for model variants.

• You design, build, and manage Kubernetes clusters on AWS EKS with high security and scalability standards for autonomous driving AI/ML workloads.
• Furthermore, you provision and orchestrate large-scale GPU clusters for distributed AI/ML training and experimentation.

• Review of avionic system requirements and design
• Definition of test cases and scenarios for the verification of the system requirements
• Development of test procedures and test scripts
• Conduction of system integration tests in avionic rigs

Your SQL skills are second to none when it comes to translating operational and strategic requirements in Daily Banking into smart data solutions. With your analytical mindset, you refine data outputs and deliver precise answers to complex questions....

Drive the adoption and effective use of AI solutions (e.g., Azure AI, Copilot) to optimize internal processes and enhance employee productivity...

• You evaluate and select state‑of‑the‑art GenAI models to enhance simulation performance.
• Furthermore, you design and operate a scalable training and MLOps infrastructure, including distributed training, automated evaluation pipelines, and optimized cloud/on‑prem compute usage.

Drive business analysis activities across the product lifecycle, from discovery and requirement gathering to solution design, implementation support, and acceptance testing....

• You develop and operate scalable, secure, and high-performance AI platforms in modern cloud environments.
• Additionally, you support the entire AI lifecycle – from data preparation through development and training to the productive operation of machine learning and generative AI solutions.

• 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

• You will define the core semantic ontology and context data models that empower our future agentic AI for Autonomous Driving and Real-Time systems.
• As a Project Lead, you will drive the implementation of advanced data infrastructure functions from concept to SOP.

Design, development, training, validation, and continuous optimisation of ML models for production-grade automotive use cases, covering the full lifecycle from initial prototype to long-term operation....

You define the AI system strategy for ADAS: model architectures, data flows, integration concepts: Grounded in methodological expertise and validated through technical feasibility assessments....

You build and operate cloud-based validation environments for a multi-agent system that operates across ADAS, Infotainment and backend-service domains – defining test architectures, scenario pipelines, behavioural oracles and regression suites....

Develop and apply advanced ML and statistical models (e.g. regression, tree‑based, Bayesian, DoE) to support mammalian cell line and upstream process R&D....