Rohde & Schwarz (China) Technology Co., Ltd. is hiring: AI Engineer – Mobile Rad
Rohde & Schwarz (China) Technology Co., Ltd., New Bremen, OH, United States
Responsibilities
Data Analysis & Processing - Collect, process, and analyze large datasets from mobile radio testing environments to extract actionable insights.
Cloud & Infrastructure Development - Support the development, automation, and maintenance of robust, scalable cloud-based infrastructures for AI system development and data operations.
Traditional ML & Deep Learning - Apply machine learning and deep learning techniques (e.g., classification, regression, feature extraction) to address challenges in mobile radio testing.
Implement GenAI Applications - Explore, implement, and benchmark AI systems using LLMs and related concepts (e.g., RAG, agentic AI workflows, and MCP), evaluating different solutions to enhance product.
Help automate DevOps and MLOps workflows, ensuring seamless deployment and integration of AI solutions into our products. Work with technologies such as containerization and cloud platforms.
Contribute to end-to-end product development, including app and web-UI design.
Collaborate with a multinational, cross-functional team.
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In Summary: Data Analysis & Processing - Collect, process, and analyze large datasets from mobile radio testing environments . Cloud & Infrastructure Development - Support the development, automation, and maintenance of robust, scalable cloud-based infrastructures for AI system development and data operations .
En Español: Responsabilidades Análisis y procesamiento de datos - Recoger, procesar y analizar grandes conjuntos de datos de entornos móviles de pruebas de radio para extraer información accionable. Desarrollo de la nube e infraestructura - Apoyar el desarrollo, automatización y mantenimiento de infraestructuras robustas y escalables basadas en la cloud para el desarrollo de sistemas de IA y las operaciones de datos.
Data Analysis & Processing - Collect, process, and analyze large datasets from mobile radio testing environments to extract actionable insights.
Cloud & Infrastructure Development - Support the development, automation, and maintenance of robust, scalable cloud-based infrastructures for AI system development and data operations.
Traditional ML & Deep Learning - Apply machine learning and deep learning techniques (e.g., classification, regression, feature extraction) to address challenges in mobile radio testing.
Implement GenAI Applications - Explore, implement, and benchmark AI systems using LLMs and related concepts (e.g., RAG, agentic AI workflows, and MCP), evaluating different solutions to enhance product.
Help automate DevOps and MLOps workflows, ensuring seamless deployment and integration of AI solutions into our products. Work with technologies such as containerization and cloud platforms.
Contribute to end-to-end product development, including app and web-UI design.
Collaborate with a multinational, cross-functional team.
#J-18808-Ljbffr
In Summary: Data Analysis & Processing - Collect, process, and analyze large datasets from mobile radio testing environments . Cloud & Infrastructure Development - Support the development, automation, and maintenance of robust, scalable cloud-based infrastructures for AI system development and data operations .
En Español: Responsabilidades Análisis y procesamiento de datos - Recoger, procesar y analizar grandes conjuntos de datos de entornos móviles de pruebas de radio para extraer información accionable. Desarrollo de la nube e infraestructura - Apoyar el desarrollo, automatización y mantenimiento de infraestructuras robustas y escalables basadas en la cloud para el desarrollo de sistemas de IA y las operaciones de datos.