C Programming, C++, Deep Learning, Django, Effective communication skills, Flask, GANs, Java Programming, Keras software library, Large Language Models - LLMs, matplotlib, NumPy, Pandas, Presentation skills, Python Programming, PyTorch, seaborn, Software Development, TensorFlow
Job Title: Research Engineer – Engineering and Validation of Intelligent Systems
Location: Bangalore
Would you be curious about an opportunity to explore exciting and unusual ways to exercise your deep skills in computer science, especially applying advanced techniques in engineering intelligent systems? Are you passionate about bringing your knowledge of machine learning and deep learning to solve real-world problems? Join our re-search 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.
This is your role. What part will you play?
You will architect, design, and develop prototypes and technology demonstrators with very high quality to tackle modern and emerging critical business challenges using machine learning and deep learning. Following are (but not limited to) your core business expectations:
We don’t need superheroes, just super minds.
Soft Skills
Qualifications
About us
We’re 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 encourage 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 inventiveness and help us shape tomorrow.
Siemens is a technology company focused on industry, infrastructure, mobility, and healthcare. Creating technologies for more resource-efficient factories and resilient supply chains to smarter buildings and grids, to cleaner, comfortable transportation and advanced healthcare, the company empowers customers to transform the industries that form the backbone of economies, transforming the everyday for billions of people.
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