ML Associate Engineer
Job in
Eaton, Preble County, Ohio, 45320, USA
Listed on 2026-06-27
Listing for:
Grapevine Round1 AI
Full Time
position Listed on 2026-06-27
Job specializations:
-
IT/Tech
Machine Learning/ ML Engineer, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
Eaton is hiring an Associate Engineer for their Center for Intelligent Power to focus on MLOps and machine learning infrastructure. The role involves developing data pipelines, CI/CD workflows, and product ionizing ML models didates should have a background in software engineering and cloud platforms with a strong grasp of ML frameworks. This position allows for significant exposure to industrial power management technology and model lifecycle management.
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Function Engineering Work mode Onsite, unknown
Company
Tier 2## What you will work on Eaton is hiring an Associate Engineer for their Center for Intelligent Power to focus on MLOps and machine learning infrastructure. The role involves developing data pipelines, CI/CD workflows, and product ionizing ML models didates should have a background in software engineering and cloud platforms with a strong grasp of ML frameworks. This position allows for significant exposure to industrial power management technology and model lifecycle management.##
TAL's take Quality 60/1004/5 clarity
Tier 2 company
Solid established industrial company offering a clear MLOps engineering role, though the location is unspecified and the tier is mid-market.
Well-defined responsibilities focused on MLOps infrastructure and pipeline development with a clear tech stack requirement.## Salaries at Eaton
22.2 LPA average
Based on 12 Grapevine salary entries for Eaton.
View all salaries
Engineering4 - 6 years | L129 LPA average
Range: 29 - 29 LPAEngineering6 - 8 years | L123 LPA average
Range: 23 - 23 LPAEngineering8 - 10 years
24 LPA average
Range: 24 - 24 LPAOther roles2 - 4 years | 83 LPA average
Range: 3 - 3 LPA## Must haves
* Bachelor degree in computer science or related field
* Experience with machine learning frameworks like Tensor Flow or Py Torch
* Understanding of cloud infrastructure (AWS, Azure, or GCP)
* Familiarity with CI/CD and containerization tools like Docker/Kubernetes
* Strong analytical and problem-solving skills## Tools and skillstensorflowpytorchscikit-learnawsazuregcpdockerkubernetesci/cdversion control
Nice to have: hadoop, spark, kafka, elk, grafana, prometheus.
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Position Requirements
10+ Years
work experience
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