10+ years in asset performance management, reliability engineering or industrial predictive analytics
Experience mentoring colleagues informally
Hands-on experience configuring and deploying SmartSignal or a similar condition monitoring platform
Qualification wording
10+ years in asset performance management, reliability engineering or industrial predictive analytics
Experience mentoring colleagues informally
Hands-on experience configuring and deploying SmartSignal or a similar condition monitoring platform
Education & alternatives
-
Education: A formal education and subsequent Bachelor or Master's degree in Engineering, Data Science or a related field is nice to have, but we are most interested in your total experience and professional achievements.
Why GE Vernova
Complete your application on gevernova.wd5.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
“Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
Your application status lives in that employer’s Candidate Home, under the same sign-in.
About 75,000 in 2025, about the same as the year before.Annual report (SEC Form 10-K)
Company
Listed as GEV.
H-1B visas
6 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
August 17Last week
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Job Description SummaryUse Predictive Analytics to Help Power Plants, Refineries and Mines Spot Equipment Problems Early
You will be the main technical contact for industrial clients who use SmartSignal predictive analytics to detect equipment faults before they cause unplanned downtime. As a senior individual contributor in our Digital Implementation Services team at GE Vernova, you take projects from the first workshop to go-live. You work with reliability engineers, data specialists and functional consultants, and you report to the Services Consulting Director.Job Description
Key Responsibilities
Deliver SmartSignal implementations. Take each project from asset scoping to go-live. Report results against client targets, such as lower unplanned downtime and higher asset availability.
Build and tune predictive models. Define health indicators, alert thresholds and diagnostic logic for rotating and process equipment.
Design data integration. Map tags and build data pipelines between plant historians, sensors and SmartSignal. Resolve false alarm and data quality issues.
Connect reliability methods to monitoring. Turn Failure Mode and Effects Analysis (FMEA) and Root Cause Analysis (RCA) results into monitoring scope. Help clients use alerts in their maintenance workflows.
Advise clients and support growth. Run workshops and executive reviews, explain findings in clear, non-technical language, and contribute to proposals and proof-of-concept projects.
Work Model and Travel
You work remotely and travel to client project sites as projects require
Qualifications
You are an experienced reliability or analytics professional who turns plant data into decisions that clients trust.
Required
Fluent Russian and English (Russian is essential for this role)
10+ years in asset performance management, reliability engineering or industrial predictive analytics
Hands-on experience configuring and deploying SmartSignal or a similar condition monitoring platform
Working knowledge of FMEA, Reliability Centered Maintenance (RCM), RCA, historian data and tag mapping
Client-facing experience, including executive presentations and workshops
Preferred
Delivery across multiple client sites in at least two of these sectors: oil and gas, petrochemicals, mining, power or nuclear
Experience mentoring colleagues informally
Education: A formal education and subsequent Bachelor or Master's degree in Engineering, Data Science or a related field is nice to have, but we are most interested in your total experience and professional achievements.
Why GE Vernova
GE Vernova employees rise to the challenge of building a world that works. We offer competitive benefits that depend on your employment status and national requirements, and we invest in your growth through continued on-the-job learning and development.