ML Associate Engineer
Grapevine Round1 AI
- ML Associate EngineerEatonunknownPosted 24 Jun 2026Eaton 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 productionizing ML models at scale. Candidates 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.Matched by TALApply to this role now. Install TAL for a 24/7 AI agent that keeps finding roles personalised for you.Apply nowInstall TALExperience0-1 yearsFunctionEngineeringWork modeOnsite, unknownCompanyTier 2## What you will work onEaton 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 productionizing ML models at scale. Candidates 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 takeQuality 60/1004/5 clarityTier 2 companySolid 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 Eaton22.2 LPA averageBased on 12 Grapevine salary entries for Eaton.View all salariesEngineering4 - 6 years | L129 LPA averageRange: 29 - 29 LPAEngineering6 - 8 years | L123 LPA averageRange: 23 - 23 LPAEngineering8 - 10 years24 LPA averageRange: 24 - 24 LPAOther roles2 - 4 years | 83 LPA averageRange: 3 - 3 LPA## Must haves* Bachelor degree in computer science or related field* Experience with machine learning frameworks like TensorFlow or PyTorch* 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 controlNice to have: hadoop, spark, kafka, elk, grafana, prometheus.
- J-18808-Ljbffr Grapevine Round1 AI
Vacancy posted 5 days ago
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