Siemens is looking to fill a permanent position as aPredictive Maintenance Engineeractive in delivery and sales support to work within the Senseye Predictive Maintenance team.
Senseye Predictive Maintenance is an industry-leading cloud-based solution for predictive maintenance that was acquired by Siemens in 2022. With cutting-edge machine learning technologies, it empowers industrial customers to minimize unplanned downtime, optimize maintenance operations, and enhance the sustainability of their manufacturing processes. Through our bespoke web application, we offer a comprehensive overview of production equipment, highlighting assets in need of maintenance attention and delivering valuable insights to facilitate informed decision-making.
Typical responsibilities include becoming a subject matter expert in the core application functionality (including product features such as diagnostics, prognostics and forecasting algorithms), engagement directly with customer's reliability engineering and maintenance personnel, analyzing sensor data for a broad spectrum of machines. Recommending suitable data features extraction and defining data pre-processing or additional contextual information which may be required.
The applicant will assist in delivering user training in the effective and efficient use of the application and will be required to keep track of new and updated application features.
The role is customer facing, and applicants will spend a significant proportion of their time mentoring customers on how to implement and gain value from Senseye Predictive Maintenance. Customer Satisfaction is key to our success.
The ability to independently manage projects and prioritize workload is a vital skill required for the position. Ideally you will have a proven track record in the manufacturing and industrial sectors, to help accelerate growth by working closely with the sales team to secure the company's position as the market leader.
What we would look to find:
Bachelor's degree or higher in a technical subject such as Engineering, Physics or similar. Alternatively, extensive industrial experience will also be considered.
Experience using Python (or similar) for data manipulation, analysis, and visualization is required.
Conditioning, vibration analysis and Cloud-based technologies is preferred
You should have a passion for data analytics and strong interpersonal skills.
Willingness to travel and support sales and project activities from a technical perspective.
Experience cooperating with software development teams.
An appreciation for machine learning and signal processing methods is desired but not essential.
Experience with cloud-based technologies and the IIOT would be an excellent additional asset.
Spanish and English at a high level.