Research Engineer – AI based Testing of Intelligent Systems Location: Bangalore Would you be intrigued by an opportunity to explore interesting and unusual ways to exercise your deep skills in computer science, especially applying advanced AI techniques in testing of intelligent systems? Are you passionate about bringing your knowledge of machine learning and deep learning to solve real-world problems? Join our research group to explore how to apply these technologies to test and validate complex industrial systems and intelligent systems in the age of Digitalization and Automation. We make real what matters. You will architect, design, and develop prototypes and technology demonstrators with very high quality to solve contemporary and emerging critical business challenges using machine learning and deep learning. Following are (but not limited to) your core business expectations: Demonstrate passion for deep understanding of state-of-the-art and emerging applications of machine learning and deep learning in testing of intelligent systems. This includes for instance one or more of AI-based test data generation/simulation, adversarial testing, XAI (explainable AI), etc. Hands-on skills in applying the above techniques to real industrial problems to deliver solutions to Siemen’s business globally (includes creating PoCs/PoVs and integrating with existing Siemens products/applications) Continuously hone and upgrade your skills in the constantly evolving technology world: create the future through intellectual property such as patents and publications in prestigious conferences and journals. Use your skills to move the world forward. Technical Expertise Masters/ Ph.D. in Computer Science (especially in AI-based testing of Intelligent Systems or related area) Excellent knowledge of machine learning methods like supervised learning, unsupervised learning, and reinforcement learning Excellent programming skills in Python. Additionally, experience in C/C++ or JAVA is preferred. Excellent working knowledge of common Python libraries like Pandas, Numpy, Matplotlib, Seaborn, etc. • Good working knowledge of frameworks like TensorFlow, Keras, PyTorch, etc . • Knowledge of deep learning concepts like CNNs, RNNs, GANs, etc. is preferable Good working knowledge software engineering methodologies. Knowledge of creating quick prototypes of basic front end with frameworks like Flask or Django is preferred Working knowledge of virtualization/containerization (Docker, Kubernetes, etc.) is preferred. Soft Skills You have excellent communication and presentation skills • While you are self-motivated and capable of working independently, you are also comfortable in teams Qualifications Masters/ Ph.D. in Computer Science (or related fields) Technical papers at prestigious conferences and journals would be a plus About us We are Siemens. A collection of over 372,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and imagination and help us shape tomorrow. Organization: Technology Company: Siemens Technology and Services Private Limited Experience Level: Early Professional Full / Part time: Full-time