Rohde & Schwarz is Hiring AI Engineer (Fresher) – Mobile Radio Tester | New Delhi

Job Description

𝐋𝐚𝐮𝐧𝐜𝐡 𝐘𝐨𝐮𝐫 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐂𝐚𝐫𝐞𝐞𝐫 𝐰𝐢𝐭𝐡 𝐚 𝐆𝐥𝐨𝐛𝐚𝐥 𝐋𝐞𝐚𝐝𝐞𝐫 𝐢𝐧 𝐖𝐢𝐫𝐞𝐥𝐞𝐬𝐬 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧 & 𝐓𝐞𝐬𝐭 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲

Rohde & Schwarz is hiring AI Engineers (Freshers) for its Mobile Radio Tester team in New Delhi. This opportunity is ideal for recent graduates who are passionate about Artificial Intelligence, Machine Learning, Python, Generative AI, Cloud Computing, and MLOps.

As an AI Engineer, you'll work on real-world AI solutions for mobile radio testing, develop intelligent data-driven applications, build cloud-based AI systems, and collaborate with global engineering teams to create next-generation wireless testing technologies.

𝐂𝐨𝐦𝐩𝐚𝐧𝐲: Rohde & Schwarz
𝐑𝐨𝐥𝐞: AI Engineer (Fresher) – Mobile Radio Tester
𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧: New Delhi, India
𝐉𝐨𝐛 𝐓𝐲𝐩𝐞: Full-Time
𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞: Fresher / Entry Level

𝐀𝐛𝐨𝐮𝐭 𝐑𝐨𝐡𝐝𝐞 & 𝐒𝐜𝐡𝐰𝐚𝐫𝐳

Rohde & Schwarz is a global technology company specializing in test and measurement, wireless communications, cybersecurity, and broadcast solutions. With decades of innovation, the company develops cutting-edge technologies that support industries including telecommunications, aerospace, defense, automotive, and electronics.

Working at Rohde & Schwarz provides an opportunity to collaborate with international teams while contributing to advanced AI-powered solutions for next-generation communication systems.

𝐉𝐨𝐛 𝐎𝐯𝐞𝐫𝐯𝐢𝐞𝐰

As an AI Engineer, you'll contribute to the development of AI-powered solutions for mobile radio testing by working with machine learning, deep learning, Generative AI, cloud infrastructure, and modern MLOps practices. You'll help analyze large datasets, build intelligent applications, automate AI workflows, and support end-to-end product development.

This role offers excellent exposure to enterprise AI engineering and modern software development technologies.

Roles & Responsibilities

- Collect, process, and analyze large datasets from mobile radio testing environments.

- Build and maintain scalable cloud-based infrastructure for AI applications.

- Develop Machine Learning and Deep Learning models for mobile communication use cases.

- Explore and implement Generative AI applications using Large Language Models (LLMs).

- Work with Retrieval-Augmented Generation (RAG), prompt engineering, AI agents, and Model Context Protocol (MCP).

- Benchmark AI models and evaluate different AI solutions for product improvements.

- Support DevOps and MLOps automation for AI deployment and monitoring.

- Contribute to end-to-end product development, including web applications and user interfaces.

- Collaborate with global cross-functional engineering teams.

Qualifications & Eligibility

- Bachelor's, Master's, or PhD in Computer Science, Electronics & Communication Engineering, or a related field.
- Strong foundation in Artificial Intelligence and Machine Learning.
- Good programming skills in Python.
- Interest in Generative AI, Large Language Models (LLMs), and cloud technologies.
- Ability to work independently in a collaborative international environment.

Skills Required

- Python Programming
- Machine Learning
- Deep Learning
- Data Processing
- Data Analysis
- Neural Networks (CNN, Transformer)
- Large Language Models (LLMs)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- Agentic AI Workflows
- Model Context Protocol (MCP)
- AI Model Benchmarking
- DevOps & MLOps Fundamentals
- Problem-Solving and Debugging
- Communication and Collaboration

𝐖𝐡𝐲 𝐉𝐨𝐢𝐧 𝐑𝐨𝐡𝐝𝐞 & 𝐒𝐜𝐡𝐰𝐚𝐫𝐳?

- Work on cutting-edge AI solutions for wireless communication technologies.

- Gain hands-on experience with Machine Learning, Deep Learning, and Generative AI.

- Exposure to cloud engineering, DevOps, and MLOps workflows.

- Collaborate with experienced engineers across global teams.

- Work on real-world enterprise AI applications and next-generation communication products.

- Excellent learning environment with opportunities for technical and professional growth.

𝐂𝐚𝐫𝐞𝐞𝐫 𝐆𝐫𝐨𝐰𝐭𝐡 𝐎𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐢𝐞𝐬

This role provides an excellent foundation for a career in Artificial Intelligence and Software Engineering.

Potential career paths include:

- AI Engineer

- Machine Learning Engineer

- Generative AI Engineer

- Data Scientist

- MLOps Engineer

- AI Research Engineer

- Cloud AI Engineer

- Computer Vision Engineer

- Software Development Engineer (AI)

- AI Solutions Architect

The experience gained in this role can help you build a long-term career in Artificial Intelligence, Machine Learning, Cloud Computing, Generative AI, and Enterprise Software Development.

Who Should Apply?

- Fresh graduates passionate about Artificial Intelligence and Machine Learning.

- Students with strong Python programming skills.

- Candidates interested in Large Language Models (LLMs) and Generative AI.

- Individuals eager to work on cloud-based AI applications and MLOps.

- Aspiring AI professionals looking to work with a globally recognized technology company.