Rockwell Automation is a global technology leader focused on helping the world’s manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special.
Rockwell Automation is a global technology leader focused on helping the world’s manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special.
As a Sr. Platform Engineer, you will be responsible for the design, implementation, and management of OT systems and IT technologies specific to Manufacturing and Quality operations. This includes expanding and optimizing applications such as Kepware, WinSPC,
Work Model: Work Model: You’ll work in a hybrid model, onsite at your designated Regal Rexnord location at least 3 days per week (Monday–Thursday), with flexibility to work remotely up to 2 days, including Friday. _
Job Description Who will you be working with? You will be working directly with our Customers and Sales teams to ensure all machines are meeting our customer expectations. How will you make a difference? As a member
This is a highly visible role focused on designing and operationalizing a scalable AI platform, establishing governance and deployment standards, and partnering with business and technology leaders to define the future of AI within the enterprise. Responsibilities:
Essential Duties and Responsibilities: - Expertly interpret results using a range of techniques, from basic data aggregation and statistical analysis to advanced data mining and pattern recognition. - Select crucial features, construct, and refine classifiers using
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side with
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side with