Siemens
Here at Siemens, we take pride in enabling sustainable progress through technology. We do this through empowering customers by combining the real and digital worlds. Improving how we live, work, and move today and for the next generation! We know that the only way a business thrives is if our people are thriving. That’s why we always put our people first. Our global, diverse team would be happy to support you and challenge you to grow in new ways. Who knows where our shared journey will take you.
Transform the everyday with us! Siemens ADVANTA is seeking an exceptional leader to drive our artificial intelligence and machine learning practice with a focus on Industrial applications. You will be responsible for designing robust and scalable AI/ML systems, evaluating and selecting AI technologies, designing data infrastructure and overseeing the implementation and ongoing performance of AI solutions. You will collaborate with technical and business teams to ensure solutions are scalable, reliable and align with organizational strategies.
You’ll make an impact by:
Design and oversee the implementation of scalable, robust AI/ML infrastructure and platforms
Research, evaluate, and recommend emerging AI technologies, frameworks, and methodologies
Establish ML engineering standards, model governance frameworks, and ethical AI guidelines
Build re‑usable building blocks and software components for end‑to‑end AI/ML pipelines following agile methodologies
Collaborate with data engineering teams to ensure high‑quality data pipelines and governance
Implement robust testing, monitoring, and validation frameworks for ML systems
Perform assessment of deployed models and improve the models to meet customer requirements in terms of accuracy, latency and throughput
Provide guidance on AI best practices and ensure alignment with industry trends and company goals.
Basic Qualifications:
Masters degree in computer science, mathematics, physics, engineering, or a related technical field
5+ years’ experience in designing, training, and deployment of AI/ML models in a production environment
5+ years’ experience in supervised/unsupervised learning, deep learning, and statistical modeling
5+ years’ experience with generative models, including Large Language Models (LLMs), diffusion models, GANs, VAEs, and multimodal AI systems
Proficiency in Python, R, SQL, and familiarity with languages like Java or Scala
5+ years’ experience with TensorFlow, PyTorch, scikit‑learn, and other AI/ML frameworks
5+ years’ experience with hands‑on experience with AWS, Google Cloud, or Azure ML services and infrastructure
5+ years’ experience with model deployment, monitoring, and lifecycle management tools
5+ years’ experience translating business requirements into technical solutions and roadmaps
Authorized to work in the US without the need for sponsorship now or in the future
Preferred Qualifications:
PhD preferred
Experience with real‑time ML systems
Knowledge with natural language processing, computer vision, recommendation systems, or other AI domains
Excellent written and verbal communication skills with the ability to explain complex technical concepts to non‑technical partners/customers
Experience managing complex, multi‑disciplinary projects with cross‑functional teams
Demonstrated ability to lead, mentor, and develop high‑performing technical teams
Knowledge of AI ethics, fairness, and responsible AI practices
Prior experience in a high‑growth technology company
Understanding of regulatory compliance in AI (GDPR, CCPA, industry‑specific regulations)
Experience with A/B testing and experimental design
IT/OT Architecture Knowledge
Edge Computing Knowledge
You’ll benefit from:
Siemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found here: https://www.benefitsquickstart.com/siemens/index.html
The pay range for this position is $112,669‑$193,147 and the annual target incentive is 15% of the annual salary. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location.
About Siemens: We are a global technology company focused on industry, infrastructure, transport, and healthcare. From more resource‑efficient factories, resilient supply chains, and smarter buildings and grids, to sustainable transportation as well as advanced healthcare, we create technology with the purpose of adding real value for customers. Learn more about Siemens here.
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Transform the everyday with us! Siemens ADVANTA is seeking an exceptional leader to drive our artificial intelligence and machine learning practice with a focus on Industrial applications. You will be responsible for designing robust and scalable AI/ML systems, evaluating and selecting AI technologies, designing data infrastructure and overseeing the implementation and ongoing performance of AI solutions. You will collaborate with technical and business teams to ensure solutions are scalable, reliable and align with organizational strategies.
You’ll make an impact by:
Design and oversee the implementation of scalable, robust AI/ML infrastructure and platforms
Research, evaluate, and recommend emerging AI technologies, frameworks, and methodologies
Establish ML engineering standards, model governance frameworks, and ethical AI guidelines
Build re‑usable building blocks and software components for end‑to‑end AI/ML pipelines following agile methodologies
Collaborate with data engineering teams to ensure high‑quality data pipelines and governance
Implement robust testing, monitoring, and validation frameworks for ML systems
Perform assessment of deployed models and improve the models to meet customer requirements in terms of accuracy, latency and throughput
Provide guidance on AI best practices and ensure alignment with industry trends and company goals.
Basic Qualifications:
Masters degree in computer science, mathematics, physics, engineering, or a related technical field
5+ years’ experience in designing, training, and deployment of AI/ML models in a production environment
5+ years’ experience in supervised/unsupervised learning, deep learning, and statistical modeling
5+ years’ experience with generative models, including Large Language Models (LLMs), diffusion models, GANs, VAEs, and multimodal AI systems
Proficiency in Python, R, SQL, and familiarity with languages like Java or Scala
5+ years’ experience with TensorFlow, PyTorch, scikit‑learn, and other AI/ML frameworks
5+ years’ experience with hands‑on experience with AWS, Google Cloud, or Azure ML services and infrastructure
5+ years’ experience with model deployment, monitoring, and lifecycle management tools
5+ years’ experience translating business requirements into technical solutions and roadmaps
Authorized to work in the US without the need for sponsorship now or in the future
Preferred Qualifications:
PhD preferred
Experience with real‑time ML systems
Knowledge with natural language processing, computer vision, recommendation systems, or other AI domains
Excellent written and verbal communication skills with the ability to explain complex technical concepts to non‑technical partners/customers
Experience managing complex, multi‑disciplinary projects with cross‑functional teams
Demonstrated ability to lead, mentor, and develop high‑performing technical teams
Knowledge of AI ethics, fairness, and responsible AI practices
Prior experience in a high‑growth technology company
Understanding of regulatory compliance in AI (GDPR, CCPA, industry‑specific regulations)
Experience with A/B testing and experimental design
IT/OT Architecture Knowledge
Edge Computing Knowledge
You’ll benefit from:
Siemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found here: https://www.benefitsquickstart.com/siemens/index.html
The pay range for this position is $112,669‑$193,147 and the annual target incentive is 15% of the annual salary. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location.
About Siemens: We are a global technology company focused on industry, infrastructure, transport, and healthcare. From more resource‑efficient factories, resilient supply chains, and smarter buildings and grids, to sustainable transportation as well as advanced healthcare, we create technology with the purpose of adding real value for customers. Learn more about Siemens here.
#J-18808-Ljbffr