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HomeCompaniesHdjq Fa Us2 Oraclecloud Com Cx 1Manager Azure AI Engineer

Manager Azure AI Engineer

Hdjq Fa Us2 Oraclecloud Com Cx 1 · IN MH Pune Plot No C1 Talegaon Industrial Area, PUNE, MAHARASHTRA, IN · On Site · Active · Oracle Recruiting Cloud / Fusion HCM

Job facts

FieldValue
CompanyHdjq Fa Us2 Oraclecloud Com Cx 1
TitleManager Azure AI Engineer
Normalized title-
Department / teamData Engineering
LocationMAHARASHTRA, IN, United States
Work modelOn Site
Employment typeFull Time
Salary-
Statusactive
ATS providerOracle Recruiting Cloud / Fusion HCM
Posted / first seen2026-06-01 / 2026-06-01
Changed / last seen2026-06-06 / 2026-06-06

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Linked records

CompanyHdjq Fa Us2 Oraclecloud Com Cx 1
Source37b36106-1d15-4025-b7ba-d9e7bf3a3bc8
ATS providerOracle Recruiting Cloud / Fusion HCM

Description

Description In This Role, Your Responsibilities Will Be: As an Azure AI Engineer, you will be responsible for architecting and implementing end-to-end AI solutions using Azure Machine Learning, Azure AI Studio, Azure AI Foundry, Cognitive Services, and the Power Platform. You will leverage both prebuilt AI models and custom machine learning workflows to solve real business problems, integrate AI into enterprise systems, and ensure robust governance, monitoring, and lifecycle management. Who You Are: An Azure AI Engineer who can design, build, and operate intelligent solutions using Microsoft Azure’s AI and machine learning ecosystem. The ideal candidate combines strong technical expertise with a practical understanding of scalable, secure, and responsible AI development. While not every listed skill is mandatory, a solid mix of the capabilities below will position you for success in this role. Key Responsibilities AI Solution Design & Development Build, train, and deploy machine learning models using Azure Machine Learning, Python, Azure AI Foundry and Azure ML SDKs. Develop scalable AI pipelines using Azure ML pipelines, AutoML, and cloud-native best practices. Integrate Azure AI capabilities—Vision, Language, Speech, and Document Intelligence—into enterprise applications. Design and automate AI-driven solutions using the Power Platform (Power Apps, Power Automate, Power Virtual Agents) integrated with Azure AI Services. Utilize Azure AI Studio, Azure AI Foundry to rapidly prototype and deliver generative AI, agentic AI and cognitive solutions. Cross-Functional Collaboration Partner with data engineers, analytics teams, and business stakeholders to translate business needs into impactful AI solutions. Collaborate with Power Platform developers to embed AI models and cognitive services into low-code applications and workflows. Contribute to architecture decisions ensuring scalability, maintainability, and alignment with enterprise cloud standards. Communicate technical concepts clearly to both technical and non-technical audiences. Responsible AI, Security & Governance Apply Responsible AI guidelines, ensuring fairness, explainability, and ethical use of machine learning models. Enforce data privacy, compliance, and security standards across all AI workloads. Support model versioning, governance, and lifecycle management. MLOps, Monitoring & Optimization Implement monitoring and observability for AI workloads using Azure Monitor, Application Insights, and MLflow (where applicable). Optimize model performance, reliability, and cost efficiency across training and inference workloads. Contribute to CI/CD workflows for ML and Power Platform integrations using Azure DevOps or GitHub Actions. For This Role, You Will Need: Bachelor’s degree in computer science, Computer Engineering, IT, or related discipline. Hands-on experience designing and deploying AI/ML solutions on Microsoft Azure. Experience with Azure AI Studio, Azure AI Foundry, Azure ML Designer, AutoML, and Prompt engineering Flow. Strong proficiency in Python and Azure SDKs for ML and Cognitive Services. Solid understanding of machine learning concepts: data preparation, model development, evaluation, and deployment. Experience with cloud-native development and CI/CD for ML pipelines. Strong communication, collaboration, and problem-solving skills. Preferred Qualifications That Set You Apart: Exposure to Microsoft Power Platform and integrating Azure AI models/services into Power Apps, Power Automate, and Copilots. Familiarity with MLOps practices and tools such as MLflow, Azure DevOps, or GitHub Actions. Microsoft certifications (e.g., Azure AI Engineer Associate, Azure Data Scientist Associate) are an added advantage. Working knowledge of Power BI for embedding or visualizing AI-driven insights. Our Culture & Commitment to You At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results. We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave. Company WHY EMERSON Our Commitment to Our People At Emerson, we are motivated by a spirit of collaboration that helps our diverse, multicultural teams across the world drive innovation that makes the world healthier, safer, smarter, and more sustainable. And we want you to join us in our bold aspiration. We have built an engaged community of inquisitive, dedicated people who thrive knowing they are welcomed, trusted, celebrated, and empowered to solve the world’s most complex problems — for our customers, our communities, and the planet. You’ll contribute to this vital work while further developing your skills through our award-winning employee development programs. We are a proud corporate citizen in every city where we operate and are committed to our people, our communities, and the world at large. We take this responsibility seriously and strive to make a positive impact through every endeavor. At Emerson, you’ll see firsthand that our people are at the center of everything we do. So, let’s go. Let’s think differently. Learn, collaborate, and grow. Seek opportunity. Push boundaries. Be empowered to make things better. Speed up to break through. Let’s go, together. Accessibility Assistance or Accommodation If you have a disability and are having difficulty accessing or using this website to apply for a position, please contact: [email protected] . ABOUT EMERSON Emerson is a global leader in automation technology and software. Through our deep domain expertise and legacy of flawless execution, Emerson helps customers in critical industries like life sciences, energy, power and renewables, chemical and advanced factory automation operate more sustainably while improving productivity, energy security and reliability. With global operations and a comprehensive portfolio of software and technology, we are helping companies implement digital transformation to measurably improve their operations, conserve valuable resources and enhance their safety. We offer equitable opportunities, celebrate diversity, and embrace challenges with confidence that, together, we can make an impact across a broad spectrum of countries and industries. Whether you’re an established professional looking for a career change, an undergraduate student exploring possibilities, or a recent graduate with an advanced degree, you’ll find your chance to make a difference with Emerson. Join our team – let’s go! No calls or agencies please.

Full job record

Job IDa2e89e4bd58cdaffa9e6cc39baa01e5866922cc0
Org ID541be914-62ce-485c-b24e-a2aa70295cc9
Source ID37b36106-1d15-4025-b7ba-d9e7bf3a3bc8
Board ID37b36106-1d15-4025-b7ba-d9e7bf3a3bc8
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Provider Job Key25030272
TitleManager Azure AI Engineer
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DepartmentData Engineering
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Workplace Typeon_site
Remote Policy
CountryUnited States
RegionIN
CityMAHARASHTRA
Salary RawDescription In This Role, Your Responsibilities Will Be: As an Azure AI Engineer, you will be responsible for architecting and implementing end-to-end AI solutions using Azure Machine Learning, Azure AI Studio, Azure AI Foundry, Cognitive Services, and the Power Platform. You will leverage both prebuilt AI models and custom machine learning workflows to solve real business problems, integrate AI into enterprise systems, and ensure robust governance, monitoring, and lifecycle management. Who You Are: An Azure AI Engineer who can design, build, and operate intelligent solutions using Microsoft Azure’s AI and machine learning ecosystem. The ideal candidate combines strong technical expertise with a practical understanding of scalable, secure, and responsible AI development. While not every listed skill is mandatory, a solid mix of the capabilities below will position you for success in this role. Key Responsibilities AI Solution Design & Development Build, train, and deploy machine learning models using Azure Machine Learning, Python, Azure AI Foundry and Azure ML SDKs. Develop scalable AI pipelines using Azure ML pipelines, AutoML, and cloud-native best practices. Integrate Azure AI capabilities—Vision, Language, Speech, and Document Intelligence—into enterprise applications. Design and automate AI-driven solutions using the Power Platform (Power Apps, Power Automate, Power Virtual Agents) integrated with Azure AI Services. Utilize Azure AI Studio, Azure AI Foundry to rapidly prototype and deliver generative AI, agentic AI and cognitive solutions. Cross-Functional Collaboration Partner with data engineers, analytics teams, and business stakeholders to translate business needs into impactful AI solutions. Collaborate with Power Platform developers to embed AI models and cognitive services into low-code applications and workflows. Contribute to architecture decisions ensuring scalability, maintainability, and alignment with enterprise cloud standards. Communicate technical concepts clearly to both technical and non-technical audiences. Responsible AI, Security & Governance Apply Responsible AI guidelines, ensuring fairness, explainability, and ethical use of machine learning models. Enforce data privacy, compliance, and security standards across all AI workloads. Support model versioning, governance, and lifecycle management. MLOps, Monitoring & Optimization Implement monitoring and observability for AI workloads using Azure Monitor, Application Insights, and MLflow (where applicable). Optimize model performance, reliability, and cost efficiency across training and inference workloads. Contribute to CI/CD workflows for ML and Power Platform integrations using Azure DevOps or GitHub Actions. For This Role, You Will Need: Bachelor’s degree in computer science, Computer Engineering, IT, or related discipline. Hands-on experience designing and deploying AI/ML solutions on Microsoft Azure. Experience with Azure AI Studio, Azure AI Foundry, Azure ML Designer, AutoML, and Prompt engineering Flow. Strong proficiency in Python and Azure SDKs for ML and Cognitive Services. Solid understanding of machine learning concepts: data preparation, model development, evaluation, and deployment. Experience with cloud-native development and CI/CD for ML pipelines. Strong communication, collaboration, and problem-solving skills. Preferred Qualifications That Set You Apart: Exposure to Microsoft Power Platform and integrating Azure AI models/services into Power Apps, Power Automate, and Copilots. Familiarity with MLOps practices and tools such as MLflow, Azure DevOps, or GitHub Actions. Microsoft certifications (e.g., Azure AI Engineer Associate, Azure Data Scientist Associate) are an added advantage. Working knowledge of Power BI for embedding or visualizing AI-driven insights. Our Culture & Commitment to You At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results. We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave. Company WHY EMERSON Our Commitment to Our People At Emerson, we are motivated by a spirit of collaboration that helps our diverse, multicultural teams across the world drive innovation that makes the world healthier, safer, smarter, and more sustainable. And we want you to join us in our bold aspiration. We have built an engaged community of inquisitive, dedicated people who thrive knowing they are welcomed, trusted, celebrated, and empowered to solve the world’s most complex problems — for our customers, our communities, and the planet. You’ll contribute to this vital work while further developing your skills through our award-winning employee development programs. We are a proud corporate citizen in every city where we operate and are committed to our people, our communities, and the world at large. We take this responsibility seriously and strive to make a positive impact through every endeavor. At Emerson, you’ll see firsthand that our people are at the center of everything we do. So, let’s go. Let’s think differently. Learn, collaborate, and grow. Seek opportunity. Push boundaries. Be empowered to make things better. Speed up to break through. Let’s go, together. Accessibility Assistance or Accommodation If you have a disability and are having difficulty accessing or using this website to apply for a position, please contact: [email protected] . ABOUT EMERSON Emerson is a global leader in automation technology and software. Through our deep domain expertise and legacy of flawless execution, Emerson helps customers in critical industries like life sciences, energy, power and renewables, chemical and advanced factory automation operate more sustainably while improving productivity, energy security and reliability. With global operations and a comprehensive portfolio of software and technology, we are helping companies implement digital transformation to measurably improve their operations, conserve valuable resources and enhance their safety. We offer equitable opportunities, celebrate diversity, and embrace challenges with confidence that, together, we can make an impact across a broad spectrum of countries and industries. Whether you’re an established professional looking for a career change, an undergraduate student exploring possibilities, or a recent graduate with an advanced degree, you’ll find your chance to make a difference with Emerson. Join our team – let’s go! No calls or agencies please.
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Source URLhttps://hdjq.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx_1/job/25030272
Apply URLhttps://hdjq.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx_1/job/25030272
First Seen At2026-06-01 11:13:35Z
Last Seen At2026-06-06 19:56:21Z
Last Checked At2026-06-06 19:56:21Z
Last Changed At2026-06-06 11:04:53Z
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Source Posted At2026-06-01 05:16:02Z
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    "ExternalDescriptionStr": "<div>\n <strong>In This Role, Your Responsibilities Will Be:</strong>\n</div>\n<div>\n <ul>\n  <li><span>As an Azure AI Engineer, you will be responsible for architecting and implementing end-to-end AI solutions using Azure Machine Learning, Azure AI Studio, Azure AI Foundry, Cognitive Services, and the Power Platform. You will leverage both prebuilt AI models and custom machine learning workflows to solve real business problems, integrate AI into enterprise systems, and ensure robust governance, monitoring, and lifecycle management.</span></li>\n </ul>\n</div>\n<div>\n <br>\n  &nbsp;\n</div>\n<div>\n <strong>Who You Are:</strong>\n</div>\n<div>\n <ul>\n  <li><span>An Azure AI Engineer who can design, build, and operate intelligent solutions using Microsoft Azure’s AI and machine learning ecosystem. The ideal candidate combines strong technical expertise with a practical understanding of scalable, secure, and responsible AI development. While not every listed skill is mandatory, a solid mix of the capabilities below will position you for success in this role.</span></li>\n </ul>\n <p><span><strong>Key Responsibilities</strong></span></p>\n <ul style=\"list-style-type:disc\">\n  <li><span>AI Solution Design &amp; Development</span></li>\n  <li><span>Build, train, and deploy machine learning models using Azure Machine Learning, Python, Azure AI Foundry and Azure ML SDKs.</span></li>\n  <li><span>Develop scalable AI pipelines using Azure ML pipelines, AutoML, and cloud-native best practices.</span></li>\n  <li><span>Integrate Azure AI capabilities—Vision, Language, Speech, and Document Intelligence—into enterprise applications.</span></li>\n  <li><span>Design and automate AI-driven solutions using the Power Platform (Power Apps, Power Automate, Power Virtual Agents) integrated with Azure AI Services.</span></li>\n  <li><span>Utilize Azure AI Studio, Azure AI Foundry to rapidly prototype and deliver generative AI, agentic AI and cognitive solutions.</span></li>\n </ul>\n <p><span>&nbsp;</span></p>\n <p><span>&nbsp;Cross-Functional Collaboration</span></p>\n <ul style=\"list-style-type:disc\">\n  <li><span>Partner with data engineers, analytics teams, and business stakeholders to translate business needs into impactful AI solutions.</span></li>\n  <li><span>Collaborate with Power Platform developers to embed AI models and cognitive services into low-code applications and workflows.</span></li>\n  <li><span>Contribute to architecture decisions ensuring scalability, maintainability, and alignment with enterprise cloud standards.</span></li>\n  <li><span>Communicate technical concepts clearly to both technical and non-technical audiences.</span></li>\n </ul>\n <p><span>&nbsp;</span></p>\n <p><span>&nbsp;Responsible AI, Security &amp; Governance</span></p>\n <ul style=\"list-style-type:disc\">\n  <li><span>Apply Responsible AI guidelines, ensuring fairness, explainability, and ethical use of machine learning models.</span></li>\n  <li><span>Enforce data privacy, compliance, and security standards across all AI workloads.</span></li>\n  <li><span>Support model versioning, governance, and lifecycle management.</span></li>\n </ul>\n <p><span>&nbsp;</span></p>\n <p><span>&nbsp;MLOps, Monitoring &amp; Optimization</span></p>\n <ul style=\"list-style-type:disc\">\n  <li><span>Implement monitoring and observability for AI workloads using Azure Monitor, Application Insights, and MLflow (where applicable).</span></li>\n  <li><span>Optimize model performance, reliability, and cost efficiency across training and inference workloads.</span></li>\n  <li><span>Contribute to CI/CD workflows for ML and Power Platform integrations using Azure DevOps or GitHub Actions.</span></li>\n </ul>\n</div>\n<div>\n <br>\n  &nbsp;\n</div>\n<div>\n <strong>For This Role, You Will Need:</strong>\n</div>\n<div>\n <ul style=\"list-style-type:disc\">\n  <li><span>Bachelor’s degree in computer science, Computer Engineering, IT, or related discipline.</span></li>\n  <li><span>Hands-on experience designing and deploying AI/ML solutions on Microsoft Azure.</span></li>\n  <li><span>Experience with Azure AI Studio, Azure AI Foundry, Azure ML Designer, AutoML, and Prompt engineering Flow.</span></li>\n  <li><span>Strong proficiency in Python and Azure SDKs for ML and Cognitive Services.</span></li>\n  <li><span>Solid understanding of machine learning concepts: data preparation, model development, evaluation, and deployment.</span></li>\n  <li><span>Experience with cloud-native development and CI/CD for ML pipelines.</span></li>\n  <li><span>Strong communication, collaboration, and problem-solving skills.</span></li>\n </ul>\n</div>\n<div>\n <br>\n  &nbsp;\n</div>\n<div>\n <strong>Preferred Qualifications That Set You Apart:</strong>\n</div>\n<div>\n <ul style=\"list-style-type:disc\">\n  <li><span>Exposure to Microsoft Power Platform and integrating Azure AI models/services into Power Apps, Power Automate, and Copilots.</span></li>\n  <li><span>Familiarity with MLOps practices and tools such as MLflow, Azure DevOps, or GitHub Actions.</span></li>\n  <li><span>Microsoft certifications (e.g., Azure AI Engineer Associate, Azure Data Scientist Associate) are an added advantage.</span></li>\n  <li><span>Working knowledge of Power BI for embedding or visualizing AI-driven insights.</span></li>\n </ul>\n</div>\n<div>\n <br>\n  &nbsp;\n</div>\n<p><span><span><strong>Our Culture &amp; Commitment to You</strong></span></span></p>\n<p><span><span>At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results.&nbsp;</span></span></p>\n<p><span><span>We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave.</span></span></p>\n<p><span><span>&nbsp;</span></span></p>\n<p><span><span>&nbsp;</span></span></p>",
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    "ShortDescriptionStr": "As an Azure AI Engineer, you will be responsible for architecting and implementing end-to-end AI solutions using Azure Machine Learning, Azure AI Studio, Azure AI Foundry, Cognitive Services, and the Power Platform. You will leverage both prebuilt AI models and custom machine learning workflows to solve real business problems, integrate AI into enterprise systems, and ensure robust governance, monitoring, and lifecycle management.",
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}
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GET https://api.bluedoor.sh/job-postings/v1/jobs/a2e89e4bd58cdaffa9e6cc39baa01e5866922cc0?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/541be914-62ce-485c-b24e-a2aa70295cc9JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/37b36106-1d15-4025-b7ba-d9e7bf3a3bc8JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/a2e89e4bd58cdaffa9e6cc39baa01e5866922cc0/eventsJSON