Home › Companies › Hdjq Fa Us2 Oraclecloud Com Cx 1 › Manager 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
| Field | Value |
|---|---|
| Company | Hdjq Fa Us2 Oraclecloud Com Cx 1 |
| Title | Manager Azure AI Engineer |
| Normalized title | - |
| Department / team | Data Engineering |
| Location | MAHARASHTRA, IN, United States |
| Work model | On Site |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
| Posted / first seen | 2026-06-01 / 2026-06-01 |
| Changed / last seen | 2026-06-06 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Hdjq Fa Us2 Oraclecloud Com Cx 1. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Oracle Recruiting Cloud / Fusion HCM. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in MAHARASHTRA. | Open |
| Department jobs | Active postings in Data Engineering. | Open |
| Work model jobs | Active On Site postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Hdjq Fa Us2 Oraclecloud Com Cx 1 |
| Source | 37b36106-1d15-4025-b7ba-d9e7bf3a3bc8 |
| ATS provider | Oracle 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 ID | a2e89e4bd58cdaffa9e6cc39baa01e5866922cc0 |
| Org ID | 541be914-62ce-485c-b24e-a2aa70295cc9 |
| Source ID | 37b36106-1d15-4025-b7ba-d9e7bf3a3bc8 |
| Board ID | 37b36106-1d15-4025-b7ba-d9e7bf3a3bc8 |
| Provider | oracle_hcm |
| Provider Job Key | 25030272 |
| Title | Manager Azure AI Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | IN MH Pune Plot No C1 Talegaon Industrial Area, PUNE, MAHARASHTRA, IN |
| Department | Data Engineering |
| Team | — |
| Employment Type | full_time |
| Workplace Type | on_site |
| Remote Policy | — |
| Country | United States |
| Region | IN |
| City | MAHARASHTRA |
| Salary Raw | 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. |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://hdjq.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx_1/job/25030272 |
| Apply URL | https://hdjq.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx_1/job/25030272 |
| First Seen At | 2026-06-01 11:13:35Z |
| Last Seen At | 2026-06-06 19:56:21Z |
| Last Checked At | 2026-06-06 19:56:21Z |
| Last Changed At | 2026-06-06 11:04:53Z |
| Inactive At | — |
| Source Posted At | 2026-06-01 05:16:02Z |
| Source Updated At | — |
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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 \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. 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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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"url": "https://hdjq.fa.us2.oraclecloud.com/hcmRestApi/resources/latest/recruitingCEJobRequisitionDetails?expand=all&onlyData=true&finder=ById;Id=%2225030272%22,siteNumber=cx_1",
"http_status": 200,
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"detail_errors": []
}Get this page with API
Rendered from the bluedoor Job Postings API. Reproduce it:
GET https://api.bluedoor.sh/job-postings/v1/jobs/a2e89e4bd58cdaffa9e6cc39baa01e5866922cc0?include=descriptionJSONGET https://api.bluedoor.sh/job-postings/v1/orgs/541be914-62ce-485c-b24e-a2aa70295cc9JSONGET https://api.bluedoor.sh/job-postings/v1/sources/37b36106-1d15-4025-b7ba-d9e7bf3a3bc8JSONGET https://api.bluedoor.sh/job-postings/v1/jobs/a2e89e4bd58cdaffa9e6cc39baa01e5866922cc0/eventsJSON