Rohde & Schwarz Hiring 2026 | AI Engineer Fresher | Mobile Radio Tester | Apply Now
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Rohde & Schwarz Hiring – AI Engineer Fresher Opportunity
Rohde & Schwarz is hiring freshers for the position of AI Engineer (Fresher) – Mobile Radio Tester. This is an excellent opportunity for Computer Science and Electronics & Communication Engineering graduates who are interested in Artificial Intelligence, Machine Learning, LLM Engineering, Generative AI, and Software Development.
Selected candidates will work on AI/ML-based solutions, modern AI architectures, model development, benchmarking, and innovative software projects with global engineering teams.
About Rohde & Schwarz
Rohde & Schwarz is a global technology company specializing in test and measurement, secure communications, cybersecurity, and advanced technology solutions.
The company develops innovative solutions across wireless communication, electronics, and software technologies.
Job Details
Company Name: Rohde & Schwarz
Position: AI Engineer (Fresher) – Mobile Radio Tester
Job Type: Full-Time
Location: Not Disclosed
Qualification: Bachelor’s / Master’s / PhD in Computer Science or Electronics & Communication Engineering
Experience: Freshers
Salary / Stipend: Not Disclosed
Eligibility Criteria
- Bachelor’s / Master’s / PhD graduates from Computer Science or Electronics & Communication Engineering backgrounds.
- Strong interest in Artificial Intelligence and Machine Learning technologies.
- Good programming and debugging skills.
- Ability to work independently and collaborate with global teams.
- Excellent communication skills.
Job Description
Rohde & Schwarz is looking for AI Engineer Freshers to join its Mobile Radio Tester team. The role involves developing AI/ML solutions, working with modern AI architectures, LLM technologies, and supporting advanced software development projects.
Candidates will get an opportunity to work on cutting-edge AI technologies including Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI workflows.
Skills Required
- Python Programming
- Data Processing and AI/ML Development Libraries
- Artificial Intelligence & Machine Learning Fundamentals
- CNN and Transformer Architectures
- Model Training, Fine-Tuning, and Benchmarking
- LLM Engineering Concepts
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- Agentic AI Workflows
- MCP and Benchmarking Tools like RAGAS
- DevOps / MLOps Practices
- Docker and Kubernetes Knowledge
- Cloud Platforms like Azure (Good to Have)
- FastAPI, React, Vercel (Good to Have)
- Analytical and Problem-Solving Skills
Key Responsibilities
- Develop AI/ML-based solutions using Python.
- Work on model development, training, fine-tuning, and evaluation.
- Explore and implement LLM-based applications.
- Develop RAG and agentic AI workflows.
- Support AI benchmarking and performance analysis.
- Collaborate with engineering teams to build scalable solutions.
- Work with DevOps/MLOps tools for AI deployment workflows.
- Develop and improve software solutions using modern technologies.
- Debug and solve technical challenges effectively.
Preferred AI & Technology Skills
- Generative AI
- Large Language Models (LLMs)
- Machine Learning Model Development
- AI Application Development
- MLOps Workflows
- Cloud-Based AI Solutions
- Software Development Practices
Selection Process
- Online Application
- Resume Screening
- Technical Assessment
- AI/ML Technical Interview
- HR Discussion
- Final Selection
Why Apply?
- Opportunity to start an AI engineering career.
- Work on advanced AI and ML technologies.
- Gain experience with LLMs and Generative AI.
- Learn industry-level AI deployment practices.
- Collaborate with global engineering teams.
Who Should Apply?
- Fresh graduates interested in AI Engineering roles.
- Computer Science graduates.
- Electronics & Communication Engineering graduates.
- Candidates with Python and Machine Learning knowledge.
- Students interested in Generative AI and LLM technologies.
How to Apply?
Interested candidates can apply through the official Rohde & Schwarz careers portal using the application link provided above.
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Disclaimer
The recruitment details are based on the provided job information. Candidates should verify the latest eligibility criteria and application details on the official Rohde & Schwarz careers portal before applying.
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