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This job closed on 15 Sep

Rohde & Schwarz stopped taking applications for AI Engineer (Fresher) – Mobile Radio Tester. The apply link no longer works. These open jobs take the same batches.

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Rohde & SchwarzSoftware & Technology

AI Engineer Jobs at Rohde & Schwarz New Delhi - Apply Now | ₹6-9 LPA

Closed 15 Sep 2026Took batch 2023, 2024, 2025Full time
Salary₹6–9 LPA
Experience0–1 years
LocationNew Delhi
DegreeBachelor's, Master's, or PhD in Computer Science or Electronics & C…
Applications closed15 Sep 2026
Posted
Applications closedAlert me for jobs like this

What the post said

Job Overview

Rohde & Schwarz India Pvt. Ltd. is seeking a passionate and talented AI Engineer (Fresher) – Mobile Radio Tester to join our team in New Delhi. This role offers an exciting opportunity to work with cutting-edge technologies in AI/ML, cloud infrastructure, and mobile radio testing while collaborating with a global team of experts.

Key Responsibilities

  • Collect, process, and analyze large datasets from mobile radio testing environments to generate actionable insights.
  • Assist in developing, automating, and maintaining scalable cloud-based infrastructures for AI system development and data operations.
  • Apply machine learning and deep learning techniques such as classification, regression, and feature extraction to solve challenges in mobile radio testing.
  • Implement and benchmark AI systems using LLMs, RAG, agentic AI workflows, and MCP to enhance products.
  • Support automation of DevOps and MLOps workflows, ensuring seamless deployment and integration of AI solutions.
  • Work with containerization (Docker) and cloud platforms (Kubernetes, Azure).
  • Contribute to end-to-end product development including app and web UI design.
  • Collaborate with multinational, cross-functional teams to deliver innovative solutions.

Qualifications

  • Bachelor's, Master's, or PhD in Computer Science or Electronics & Communications Engineering from a reputed institution.
  • Proficiency in Python programming, especially for data processing and AI/ML development.
  • Solid understanding of AI/ML fundamentals including CNNs, Transformers, model training, fine-tuning, and benchmarking.
  • Interest or exposure to LLM engineering, prompt engineering, RAG, agentic workflows, MCP, and benchmarking tools such as RAGAS.
  • Knowledge of DevOps/MLOps tools and practices.
  • Understanding of Docker and experience in cloud engineering with Kubernetes on Azure is a plus.
  • Familiarity with web frameworks such as FastAPI, React, and Vercel is advantageous.
  • Excellent communication, analytical, debugging, and problem-solving skills.

Perks & Benefits

  • Allowance for home office equipment
  • Flexible working hours
  • Car leasing options
  • Sports promotion programs
  • Health care and accident insurance
  • Online medical counselling
  • Life insurance
  • Corporate/team events
  • Gifts for special life events

Skills and topics

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About Rohde & Schwarz

Software & Technology · Founded 1933 · HQ Munich, Bavaria, Germany
Company page

Rohde & Schwarz is a globally recognized technology group specializing in the fields of test and measurement, secure communications, monitoring, and network solutions. Founded in 1933 and headquartered in Munich, Germany, the company has built a strong reputation for precision engineering, innovation, and reliability.

Size
1,000+ people
Open jobs on talentd
None right now
Pay in this post
₹6–9 LPA
Founded
1933
Headquarters
Munich, Bavaria, Germany

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Questions about this job

Can 2025 graduates apply for this Rohde & Schwarz AI Engineer (Fresher) – Mobile Radio Tester job?

Not any more: the job has closed. When it was open, it took batch 2023, 2024 and 2025.

What is the salary for AI Engineer (Fresher) – Mobile Radio Tester at Rohde & Schwarz in New Delhi?

The post lists ₹6–9 LPA.

Is this job still open?

No. Rohde & Schwarz stopped taking applications on 15 Sep 2026. The open jobs listed on this page take the same batches.

How do I prepare for the Rohde & Schwarz interview?

Revise the skills the post asks for (CNN, Data Processing and Deep Learning) and practise common fresher interview questions on FleetCode.