Join the innovative, multinational AI team New Delhi, Test & Measurement division, and play a key role in making our industry-leading mobile radio tester, , even more productive and user-friendly.This is an excellent opportunity for recent university graduates to launch their careers in AI engineering while developing strong skills in software, cloud, and product development - all within a truly diverse, international environment.Your tasks : - 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 teamYour qualifications : - Bachelor/Master/PhD in Computer Science, AI or related field from top university/college- 3+ years of professional experience in software development including 1+ years proven experience in AI/ML production environments- 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 (ref: hirist.tech)