AI Engineer– Mobile Radio Tester Job in Delhi at Rohde & Schwarz

Rohde & Schwarz is hiring for the role of AI Engineer– Mobile Radio Tester!

Responsibilities of the Candidate:

• 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 the 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

Requirements:

• Bachelor's/Master/PhD in Computer Science/Electronics and Communications Engineering from top university/college
• Proficiency in Python programming, particularly with libraries for data processing and AI/ML development.
• Strong understanding of AI/ML fundamentals, including standard architectures (e.g., CNN, Transformer), model training, fine-tuning, and benchmarking.
• Exposure and interest in LLM engineering - Prompt engineering, RAG, agentic workflows, MCP and Benchmarking practices with tools such as RAGAS.
• Interest or exposure to, DevOps/MLOps tools & practices.
• Understanding of containerization (Docker) and experience in cloud engineering (Kubernetes) on platforms such as Azure is a plus.
• Experience with web frameworks (e.g., FastAPI, React, Vercel) is a plus.
• Ability to work effectively and independently in a diverse, international, and collaborative environment.
• Excellent communication, analytical, debugging and problem-solving skills