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    <title>https://jobit.com:  Jobs in Consultancy</title>
    <description>Jobs from jobit.com :  in Consultancy</description>
    <link>https://jobit.com</link>
    <pubDate>Sun, 23 Aug 2026 03:09:42 GMT</pubDate>
    <lastBuildDate>Sun, 23 Aug 2026 03:09:42 GMT</lastBuildDate>
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    <generator>Forgroup Internet Ltd</generator>
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	 <id>9472784</id>
      <title><![CDATA[GPU MLOps Engineer]]></title>
      <description><![CDATA[Your Job  The GPU- MLOps Engineer will own the Azure platform layer end-to-end - deploying AI ML models  provisioning and managing GPU compute  securing the environment  and continuously optimizing cost for our engineering AI ML platform   Our Team  Established in 1938  Molex delivers comprehensive electronic solutions for various markets  including data communications  telecommunications  consumer electronics  industrial  automotive  commercial vehicle  aerospace and defense  medical  and lighting  You ll join the platform team responsible for the compute  security  and cost backbone that powers our Azure AI ML engineering tools  partnering closely with data scientists  ML engineers  and LLM engineers to keep everything running smoothly   What You Will Do        Build and maintain CI CD pipelines  Azure DevOps  for training  validation  versioning  and deployment of ML models         Provision and scale Azure GPU compute  ND NC series  and container infrastructure  AKS ACI  for training and simulation workloads         Automate retraining redeployment workflows in Azure ML pipelines as new data becomes available         Implement access control  identity management  and secrets management  Microsoft Entra ID  Azure Key Vault  across compute  data  and model artifacts         Monitor and optimize GPU cloud spend  Azure Cost Management  and build cost visibility dashboards in Power BI   Who You Are  Basic Qualifications         10+ years in MLOps  DevOps  or Cloud Infrastructu]]></description>
      <link>https://jobit.com/search/jobs/9472784</link>
      <author>Molex</author>
      <industry>Consultancy</industry>
      <location>Fremont, US-CA</location>
      <type>permanent</type>
      <pubDate>Fri, 21 Aug 2026 09:17 GMT</pubDate>
    </item>
       <item>
	 <id>9472783</id>
      <title><![CDATA[GPU MLOps Engineer]]></title>
      <description><![CDATA[Your Job  The GPU- MLOps Engineer will own the Azure platform layer end-to-end - deploying AI ML models  provisioning and managing GPU compute  securing the environment  and continuously optimizing cost for our engineering AI ML platform   Our Team  Established in 1938  Molex delivers comprehensive electronic solutions for various markets  including data communications  telecommunications  consumer electronics  industrial  automotive  commercial vehicle  aerospace and defense  medical  and lighting  You ll join the platform team responsible for the compute  security  and cost backbone that powers our Azure AI ML engineering tools  partnering closely with data scientists  ML engineers  and LLM engineers to keep everything running smoothly   What You Will Do        Build and maintain CI CD pipelines  Azure DevOps  for training  validation  versioning  and deployment of ML models         Provision and scale Azure GPU compute  ND NC series  and container infrastructure  AKS ACI  for training and simulation workloads         Automate retraining redeployment workflows in Azure ML pipelines as new data becomes available         Implement access control  identity management  and secrets management  Microsoft Entra ID  Azure Key Vault  across compute  data  and model artifacts         Monitor and optimize GPU cloud spend  Azure Cost Management  and build cost visibility dashboards in Power BI   Who You Are  Basic Qualifications         10+ years in MLOps  DevOps  or Cloud Infrastructu]]></description>
      <link>https://jobit.com/search/jobs/9472783</link>
      <author>Molex</author>
      <industry>Consultancy</industry>
      <location>Lisle, US-IL</location>
      <type>permanent</type>
      <pubDate>Fri, 21 Aug 2026 09:17 GMT</pubDate>
    </item>
       <item>
	 <id>9472782</id>
      <title><![CDATA[GPU MLOps Engineer]]></title>
      <description><![CDATA[Your Job  The GPU- MLOps Engineer will own the Azure platform layer end-to-end - deploying AI ML models  provisioning and managing GPU compute  securing the environment  and continuously optimizing cost for our engineering AI ML platform   Our Team  Established in 1938  Molex delivers comprehensive electronic solutions for various markets  including data communications  telecommunications  consumer electronics  industrial  automotive  commercial vehicle  aerospace and defense  medical  and lighting  You ll join the platform team responsible for the compute  security  and cost backbone that powers our Azure AI ML engineering tools  partnering closely with data scientists  ML engineers  and LLM engineers to keep everything running smoothly   What You Will Do        Build and maintain CI CD pipelines  Azure DevOps  for training  validation  versioning  and deployment of ML models         Provision and scale Azure GPU compute  ND NC series  and container infrastructure  AKS ACI  for training and simulation workloads         Automate retraining redeployment workflows in Azure ML pipelines as new data becomes available         Implement access control  identity management  and secrets management  Microsoft Entra ID  Azure Key Vault  across compute  data  and model artifacts         Monitor and optimize GPU cloud spend  Azure Cost Management  and build cost visibility dashboards in Power BI   Who You Are  Basic Qualifications         10+ years in MLOps  DevOps  or Cloud Infrastructu]]></description>
      <link>https://jobit.com/search/jobs/9472782</link>
      <author>Molex</author>
      <industry>Consultancy</industry>
      <location>Austin, US-TX</location>
      <type>permanent</type>
      <pubDate>Fri, 21 Aug 2026 09:17 GMT</pubDate>
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