Senior AI Applied Scientist - Cloud & Industrial AI

Job Family : Research & DevelopmentReq ID : 400985Are you passionate about revolutionizing industries through the application of cutting-edge AI?

Siemens Digital Industries, a driving force in industrial automation, is on a mission to transform the landscape of Manufacturing Engineering and Automation.

Join us in shaping the future collaboratively with customers and partners, delivering rapid value, and solving core challenges.

We are committed to sustainability, system optimization, and embracing change to redefine the industry and ourselves.Why Siemens Digital Industries?

At Siemens, we're not just crafting products; we're forging a portfolio for tomorrow. We're nimble, adaptive, and purpose-driven, rapidly iterating over innovative ideas.

Our approach involves close collaboration with customers, incorporating their feedback to build a bridge into a sustainable world.

Join us in this fast-paced, agile environment, and become a part of a legacy that matters for generations to come.In your role as Senior AI Applied Scientist - 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.
• Act as expert in Generative AI and Machine Learning.What You Need To Make Real What Matters.· You have a bachelor s and 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 model training recipes and pipelines .· 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.Siemens Software. Transform the EverydayThe salary range for this position is $121,400 to $218,500 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).

LI-HYBRID#SWSaaS#cloudEqual Employment Opportunity StatementSiemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace.

All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.

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