Engine Condition Monitoring Advisor

Career Area:

Job Description:

Your Work Shapes the World at Caterpillar Inc.

When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other.  We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.

As a Condition Monitoring Advisor in the Large Engine Digital Insights team, you will work closely with service engineering and design/performance engineering staff.  The position will have primary responsibilities for performing condition monitoring from the IoT and other data collected from engines in the field.  These duties include monitoring data for anomalies, working with data scientists, SMEs and creating actionable recommendations. 

This will involve utilizing engine domain expertise and data analysis tools. This role requires strong communication skills and the ability to handle multiple projects together.

JOB DUTIES/RESPONSIBILITIES MAY INCLUDE, BUT ARE NOT LIMITED TO:

• Monitoring diesel/gas engines for anomalies and providing actionable recommendations
• Document engine anomalies, actions taken and customer value
• Work with data scientists to create algorithms & data visualization solutions
• Report issues identified from the data to engineering and service engineers
• Follow-up on action closure status and update in the repository

BASIC QUALIFICATIONS

• Engineering degree, with 2-5 years of progressive experience in the product support and/or engineering (engine performance/design/simulation) fields.
• Strong customer service/contact experience, communication, interpersonal and organizational skills are critical to succeeding in this position. 
• Demonstrated experience with engine maintenance/repair or engine performance calibration and condition monitoring techniques
• Background in statistics/data analysis (1D/2D histograms, event finding, confidence intervals etc)
• Python/SQL exposure (data processing scripts)
• Signal processing (filtering techniques, moving averages, trap conditions)

TOP CANDIDATES WILL ALSO HAVE:

• Master’s degree in IC engines/ Thermal engineering
• Experience in engine/aftertreatment performance calibration and/or testing
• Possess the ability to work in team environment and work with diverse groups of business partners
• Working knowledge of CI & SI engines/engine systems
• Excellent organizational skills to manage many data sources
• Strong communication skills: both verbal and written; ability to quickly create presentations for internal and external customers
• An initiative and ability to resolve issues either individually or through appropriate team guidance is desired

Additional Information: 

• This position can be located in Bangalore.
• This role will require 5-day-a-week in office presence.

This Job Description is intended as a general guide to the job duties for this position and is intended for the purpose of establishing the specific salary grade. It is not designed to contain or be interpreted as an exhaustive summary of all responsibilities, duties and effort required of employees assigned to this job. At the discretion of management, this description may be changed at any time to address the evolving needs of the organization. It is expressly not intended to be a comprehensive list of “essential job functions” as that term is defined by the Americans with Disabilities Act.

Caterpillar is an Equal Opportunity Employer (EEO). All qualified individuals - including minorities, females, veterans and individuals with disabilities - are encouraged to apply.

Relocation assistance is not available for this position. Any relocation costs incurred would be the responsibility of the selected applicant. 

Posting Dates:

Caterpillar is an Equal Opportunity Employer.  Qualified applicants of any age are encouraged to apply

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