Consultant Engineer
hace 4 semanas
The driving force behind our success has always been the people of AspenTech. What drives us, is our aspiration, our desire and ambition to keep pushing the envelope, overcoming any hurdle, challenging the status quo to continually find a better way. You will experience these qualities of passion, pride and aspiration in many ways — from a rich set of career development programs to support of community service projects to social events that foster fun and relationship building across our global community.
The Role
A Consultant within our Asset Performance Management (APM) Professional Services organization is based in Mexico City. Major responsibility is to provide consulting services within the APM portfolio of products focusing on predictive analytics. This is a unique position for an exceptional Engineer to work on project implementations, working closely with our business customers and travelling to their locations from time to time. This role is responsible for the project’s technical success.
Your Impact
Deliver consulting services including solutions architecture & design, implementation, training and advisory services in supporting client’s exploitation of Aspen Mtell, Fidelis, and ProMV solutions. Design and configure model-based decision support systems and data integration with external systems and databases. Co-ordinate solution delivery in concert with AspenTech Project Management and the Client to ensure projects achieve stated milestones, delivery dates and financial goals. Maintain and extend client satisfaction levels and develop opportunities for additional Services. Lead internal and external resources to successfully complete implementation projects
What You'll Need
Bachelor’s degree in chemical engineering 1 to 3 years of experience in process engineering and control, production, equipment maintenance and/or reliability in oil & gas, chemical, petrochemical, and/or pulp & paper industries. High English level is a must as you will be working with a global team and customers from all over the world. Be eager to learn about new industries and technologies Experience in process optimization using multivariate analysis of historical process data is a plus. Experience in Power Bi, Tableau, SAP, or other dashboard platforms are considered a plus. Phyton, Big data, data analysis, machine learning and/or AI Masters or specializations are considered a plus.-
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