Jobs · Information Technology · Wisconsin

Senior Systems Application Engineer, Innovation

Rockwell Automation · Mequon, WI · 2 wk ago
HybridInformation TechnologyFull-time

Responsibilities

  • Innovate the future of how customers leverage Trusted Content across design, operations, and maintenance use cases and workflows
  • Design integrated and complex automation systems using Trusted Content through modern methodologies
  • Research and develop methodologies using artificial intelligence to harvest, develop, and validate Trusted Content
  • Collaborate with Innovation Software Developers to develop requirements and review output
  • Collaborate with the AI center of excellence, and customer co-innovation teams
  • Collaborate with operating segment product management and development teams to influence and support product portfolio integration of Trusted Content needs

Qualifications

  • You Will Have Bachelor's Degree or equivalent years of relevant work experience.
  • Legal authorization to work in the US is required.
  • Ability to travel, including internationally, up to 25% of time.

Preferred

  • You Might Also Have Typically requires 8+ years of relevant experience in systems or applications engineering within industrial automation.
  • A degree in engineering, computer science, or related field.
  • A strong understanding of Rockwell Automation products like Logix, Optix, etc.
  • Proficiency in programming languages commonly used in AI, such as Python, C++, C#, or Java.
  • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Design, train, and evaluate AI models and algorithms.
  • Strong analytical and problem-solving skills for interpreting complex data sets.
  • Experience with data preprocessing, feature engineering, and data visualization tools.
  • Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud) for deploying AI solutions.
  • Collaborate effectively with multidisciplinary teams.
  • Present concepts and strategies to fellow developers and management.
  • Understanding of ethics and best practices in AI development.

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