Senior AI Applied Scientist - Cloud & Industrial AI

We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation— helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking, and focuses on growth, so our people, our business, and our customers can achieve their full potential.

Interested in reinventing the Industry with cutting-edge AI innovations applied to high-value scenarios such as Manufacturing Engineering and Automation?

Siemens is market leader in industrial engineering and automation and our products and services are used in factories across the world, from car production to pharmaceutical plants. Our goal is to do nothing less than transforming the industry and ourselves.

We are crafting a portfolio for tomorrow, iterating fast over new ideas and being in close touch with our customers to integrate their feedback back to the products we built. With this approach, we are building the bridge into a sustainable world of tomorrow. Fast, agile and purpose driven, for us and the next generations to come

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What part will you play?

In your role as “AI Senior Applied Scientist (f/m/d) Cloud & Industrial AI” you will:

• Conduct cutting-edge investigations in Artificial Intelligence applied to high-value industrial scenarios
• Design and implement AI/ML pipelines, models and components that will be at the core technology stack of Siemens next-generation AI powered services
• Work closely together with peers and partners, including software engineers, product managers, domain experts and customers to make sure the AI innovations are brought into production with agility and following all Siemens Industrial Grade requirements

What You Need To Make Real What Matters:

• You have a PhD degree in computer science, computer engineering, or a related field, with focus in Machine Learning and/or Artificial Intelligence
• You have a track record of 5 years of experience working in the industry, applying AI/ML techniques, including development of models and pipelines, as part of the development life-cycle of products / services / solutions
• You are proficient in Python, PyTorch (or TensorFlow), have familiarity with distributed model training recipes and pipeline
• You are familiar with Generative AI technologies, including OpenAI, Azure OpenAI and open-source Large Language Models
• You are familiar with Azure Machine Learning (or AWS SageMaker) and other cloud based solutions that can be used as part of an AI ecosystem
• You have experience with MLOps / LLMOps pipelines and with high quality engineering practices across all stages of AI/ML development
• You are a team player

Why us?

Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software.

A collection of over 377,000 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 creativity and help us shape tomorrow!

Siemens Software. Transform the Everyday!

The salary range for this position is $105,100 to $189,200 and this role is eligible to earn incentive compensation. The actual compensation offered is based on the successful candidate’s work location as well as additional factors, including job-related skills, experience, and relevant education/training. Siemens offers a variety of health and wellness benefits to employees. Details regarding our benefits can be found here: www.benefitsquickstart.com. In addition, this position is eligible for time off in accordance with Company policies, including paid sick leave, paid parental leave, PTO (for non-exempt employees) or non-accrued flexible vacation (for exempt employees).

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