Jobs · Information Technology · Wisconsin

Senior Systems Application Engineer, Innovation

Rockwell Automation · Milwaukee, 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
  • Contribute to Trusted Content standards, policies and procedures
  • Support global events such as Automation Fair, TechEd, or others as needed
  • Support customer or operating segment projects on site as necessary

Qualifications

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

Skills

  • Naturally collaborative
  • Flexible
  • Execution-oriented
  • Credible across levels

Requirements

  • You Will Have:
  • Bachelor's Degree or equivalent years of relevant work experience
  • Typically requires 8+ years of relevant experience in systems or applications engineering within industrial automation
  • 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

Benefits

  • Health Insurance including Medical, Dental and Vision
  • 401k
  • Paid Time off
  • Parental and Caregiver Leave
  • Flexible Work Schedule

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