Home › Companies › Eiyi Fa Ap1 Oraclecloud Com CX 3001 › Senior Engineer
Senior Engineer
Eiyi Fa Ap1 Oraclecloud Com CX 3001 · Mumbai - Unit 801, Navi Mumbai, IN · Active · Oracle Recruiting Cloud / Fusion HCM
Job facts
| Field | Value |
|---|---|
| Company | Eiyi Fa Ap1 Oraclecloud Com CX 3001 |
| Title | Senior Engineer |
| Normalized title | - |
| Department / team | Execution |
| Location | Navi Mumbai, IN, United States |
| Work model | - |
| Employment type | - |
| Salary | - |
| Status | active |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
| Posted / first seen | 2026-05-07 / 2026-05-31 |
| Changed / last seen | 2026-06-03 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Eiyi Fa Ap1 Oraclecloud Com CX 3001. | 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 Navi Mumbai. | Open |
| Department jobs | Active postings in Execution. | 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 | Eiyi Fa Ap1 Oraclecloud Com CX 3001 |
| Source | f459c900-6d49-4697-93d9-c54f0b3bbd25 |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
Description
Description
Key Responsibilities
Build AI Infrastructure: Contribute to the development and maintenance of scalable, reliable, and efficient infrastructure for training and deploying machine learning models.
MLOps & Automation: Implement and maintain CI/CD pipelines for machine learning models, helping to automate the entire lifecycle from data preparation to model monitoring.
Production Deployment: Deploy and maintain machine learning models in our production environments, ensuring high availability, low latency, and scalability.
Software Development: Write clean, high-quality, and production-ready code to support AI/ML initiatives.
Cross-Functional Collaboration: Partner with data scientists, other engineers, and product managers to understand model requirements and translate them into robust engineering solutions.
Performance Optimization: Help monitor and optimize the performance of our AI systems, including model inference speed, resource utilization, and cost-effectiveness.
Technology & Tooling: Work with modern tools, frameworks, and technologies in our AI engineering stack and stay current with the latest advancements in the field.
Code Quality & Best Practices: Maintain and adhere to high standards for code quality, testing, and documentation.
Qualifications & Skills
Educational Background: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field.
Professional Experience: 3+ years of professional software engineering experience, with at least 1-2 years focused on AI/ML engineering, MLOps, or a similar backend role.
Software Engineering Excellence: Strong proficiency in a major programming language (e.g., Python, Java, Go) and a solid foundation in software architecture, data structures, and algorithms.
MLOps Knowledge: Hands-on experience building or maintaining MLOps pipelines using tools like Kubernetes, Docker, Jenkins, MLflow, Kubeflow, or similar technologies.
Cloud Proficiency: Experience with at least one major cloud platform (AWS, GCP, or Azure) and its core services. Familiarity with its AI/ML services is a plus.
Problem-Solving: Strong analytical and problem-solving skills, with the ability to troubleshoot technical issues.
Preferred Qualifications
Experience with large-scale data processing technologies (e.g., Apache Spark, Kafka).
Familiarity with infrastructure as code (IaC) tools like Terraform or CloudFormation.
Experience optimizing deep learning models for inference (e.g., using TensorRT, ONNX).
A passion for building and shipping products with AI at their core.
Full job record
| Job ID | 0bd9d08fce7b707c141e7b8ca2ec401a08356f20 |
| Org ID | 76bfd6ec-d347-43b4-974d-53e492384848 |
| Source ID | f459c900-6d49-4697-93d9-c54f0b3bbd25 |
| Board ID | f459c900-6d49-4697-93d9-c54f0b3bbd25 |
| Provider | oracle_hcm |
| Provider Job Key | 6455 |
| Title | Senior Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Mumbai - Unit 801, Navi Mumbai, IN |
| Department | Execution |
| Team | — |
| Employment Type | — |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | IN |
| City | Navi Mumbai |
| Salary Raw | Description Key Responsibilities Build AI Infrastructure: Contribute to the development and maintenance of scalable, reliable, and efficient infrastructure for training and deploying machine learning models. MLOps & Automation: Implement and maintain CI/CD pipelines for machine learning models, helping to automate the entire lifecycle from data preparation to model monitoring. Production Deployment: Deploy and maintain machine learning models in our production environments, ensuring high availability, low latency, and scalability. Software Development: Write clean, high-quality, and production-ready code to support AI/ML initiatives. Cross-Functional Collaboration: Partner with data scientists, other engineers, and product managers to understand model requirements and translate them into robust engineering solutions. Performance Optimization: Help monitor and optimize the performance of our AI systems, including model inference speed, resource utilization, and cost-effectiveness. Technology & Tooling: Work with modern tools, frameworks, and technologies in our AI engineering stack and stay current with the latest advancements in the field. Code Quality & Best Practices: Maintain and adhere to high standards for code quality, testing, and documentation. Qualifications & Skills Educational Background: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field. Professional Experience: 3+ years of professional software engineering experience, with at least 1-2 years focused on AI/ML engineering, MLOps, or a similar backend role. Software Engineering Excellence: Strong proficiency in a major programming language (e.g., Python, Java, Go) and a solid foundation in software architecture, data structures, and algorithms. MLOps Knowledge: Hands-on experience building or maintaining MLOps pipelines using tools like Kubernetes, Docker, Jenkins, MLflow, Kubeflow, or similar technologies. Cloud Proficiency: Experience with at least one major cloud platform (AWS, GCP, or Azure) and its core services. Familiarity with its AI/ML services is a plus. Problem-Solving: Strong analytical and problem-solving skills, with the ability to troubleshoot technical issues. Preferred Qualifications Experience with large-scale data processing technologies (e.g., Apache Spark, Kafka). Familiarity with infrastructure as code (IaC) tools like Terraform or CloudFormation. Experience optimizing deep learning models for inference (e.g., using TensorRT, ONNX). A passion for building and shipping products with AI at their core. |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://eiyi.fa.ap1.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_3001/job/6455 |
| Apply URL | https://eiyi.fa.ap1.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_3001/job/6455 |
| First Seen At | 2026-05-31 18:15:17Z |
| Last Seen At | 2026-06-06 11:50:14Z |
| Last Checked At | 2026-06-06 11:50:14Z |
| Last Changed At | 2026-06-03 11:55:36Z |
| Inactive At | — |
| Source Posted At | 2026-05-07 07:35:03Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=eiyi.fa.ap1.oraclecloud.com|CX_3001/date=2026-06-06/2026-06-06T11-50-13-271Z-d241acf3040f89cb3b239e65b8b584b35f3c37d3625c41a364a91a2cee98a161.json |
Event Fields
{
"content_hash": "fcb145ccfdb3d5c2e5450c882f3e5f620c6a96884c692fae0b8c85b84a0bc552",
"source_hash": "6620b27ddc060f425634ea36df074b0a342c6d9e9a2d03b988a4bb3dbbd1e3e9",
"last_changed_at": "2026-06-03T11:55:36.071Z",
"active_status": "active"
}Parsed Structured
{
"language": "en",
"location": {
"raw": "Mumbai - Unit 801, Navi Mumbai, IN",
"city": "Navi Mumbai",
"region": "IN",
"country": "United States",
"is_remote": false,
"confidence": 0.9
},
"salary_max": null,
"salary_min": null,
"inferred_at": "2026-06-06T11:50:14.665Z",
"launch_scope": {
"reason": "english_us_canada",
"included": true,
"language": "en",
"location": {
"raw": "Mumbai - Unit 801, Navi Mumbai, IN",
"city": "Navi Mumbai",
"region": "IN",
"country": "United States",
"is_remote": false,
"confidence": 0.9
},
"countries": [
"United States"
]
},
"remote_policy": null,
"salary_period": null,
"workplace_type": null,
"salary_currency": null
}Extensions
{}Native Structured
{
"detail": {
"Id": "6455",
"Title": "Senior Engineer",
"media": [],
"skills": [],
"JobType": null,
"Category": "Execution",
"JobGrade": null,
"JobLevel": null,
"JobShift": null,
"WorkDays": null,
"WorkHours": null,
"WorkYears": null,
"Department": null,
"HotJobFlag": false,
"StudyLevel": null,
"WorkMonths": null,
"WorkerType": null,
"GeographyId": 300001463490272,
"JobFamilyId": 300000002055063,
"JobFunction": null,
"JobSchedule": null,
"BusinessUnit": null,
"ContractType": null,
"Organization": null,
"TrendingFlag": true,
"workLocation": [
{
"Country": "IN",
"Region1": null,
"Region2": null,
"Region3": null,
"Building": null,
"Latitude": "19.16121",
"Longitude": "72.99644",
"LocationId": 300000002049172,
"PostalCode": "400708",
"TownOrCity": "Navi Mumbai",
"AddressLine1": "M/s. Serene Properties Pvt. Ltd. (SEZ)Unit No. 801, ",
"AddressLine2": "Building No. 5, Mindspace,Airoli",
"AddressLine3": null,
"AddressLine4": null,
"LocationName": "Mumbai - Unit 801"
}
],
"ContentLocale": "en",
"HiringManager": null,
"LegalEmployer": null,
"RequisitionId": 300005432832090,
"WorkplaceType": "",
"BusinessUnitId": 300000002055021,
"OrganizationId": 1,
"GeographyNodeId": 100000357271117,
"JobFunctionCode": null,
"LegalEmployerId": 300000002053001,
"PrimaryLocation": "Mumbai, Maharashtra, India",
"RequisitionType": "Professional",
"NumberOfOpenings": null,
"WorkplaceTypeCode": null,
"BeFirstToApplyFlag": false,
"otherWorkLocations": [],
"secondaryLocations": [],
"ExternalContactName": null,
"ShortDescriptionStr": "As an AI Engineer, you will be a key contributor to the development, and deployment of our AI and machine learning infrastructure. You will be a hands-on coder, working with a team of talented engineers and scientists to build and maintain the platforms that bring our data science models to life. This role requires a strong software engineering background and a passion for the practical application of machine learning in real-world, high-performance applications.",
"ExternalContactEmail": null,
"ExternalPostedEndDate": "2026-06-30T07:34:00+00:00",
"OtherRequisitionTitle": null,
"requisitionFlexFields": [],
"ApplyWhenNotPostedFlag": true,
"DomesticTravelRequired": null,
"ExternalDescriptionStr": "<span><b>Key Responsibilities</b></span>\n<ol>\n <li><span><b>Build AI Infrastructure:</b> Contribute to the development and maintenance of scalable, reliable, and efficient infrastructure for training and deploying machine learning models.</span></li>\n <li><span><b>MLOps & Automation:</b> Implement and maintain CI/CD pipelines for machine learning models, helping to automate the entire lifecycle from data preparation to model monitoring.</span></li>\n <li><span><b>Production Deployment:</b> Deploy and maintain machine learning models in our production environments, ensuring high availability, low latency, and scalability.</span></li>\n <li><span><b>Software Development:</b> Write clean, high-quality, and production-ready code to support AI/ML initiatives.</span></li>\n <li><span><b>Cross-Functional Collaboration:</b> Partner with data scientists, other engineers, and product managers to understand model requirements and translate them into robust engineering solutions.</span></li>\n <li><span><b>Performance Optimization:</b> Help monitor and optimize the performance of our AI systems, including model inference speed, resource utilization, and cost-effectiveness.</span></li>\n <li><span><b>Technology & Tooling:</b> Work with modern tools, frameworks, and technologies in our AI engineering stack and stay current with the latest advancements in the field.</span></li>\n <li><span><b>Code Quality & Best Practices:</b> Maintain and adhere to high standards for code quality, testing, and documentation.</span></li>\n</ol><span><b>Qualifications & Skills</b></span>\n<ul>\n <li><span><b>Educational Background:</b> Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field.</span></li>\n <li><span><b>Professional Experience:</b> 3+ years of professional software engineering experience, with at least 1-2 years focused on AI/ML engineering, MLOps, or a similar backend role.</span></li>\n <li><span><b>Software Engineering Excellence:</b> Strong proficiency in a major programming language (e.g., Python, Java, Go) and a solid foundation in software architecture, data structures, and algorithms.</span></li>\n <li><span><b>MLOps Knowledge:</b> Hands-on experience building or maintaining MLOps pipelines using tools like Kubernetes, Docker, Jenkins, MLflow, Kubeflow, or similar technologies.</span></li>\n <li><span><b>Cloud Proficiency:</b> Experience with at least one major cloud platform (AWS, GCP, or Azure) and its core services. Familiarity with its AI/ML services is a plus.</span></li>\n <li><span><b>Problem-Solving:</b> Strong analytical and problem-solving skills, with the ability to troubleshoot technical issues.</span></li>\n</ul><span><b>Preferred Qualifications</b></span>\n<ul>\n <li><span>Experience with large-scale data processing technologies (e.g., Apache Spark, Kafka).</span></li>\n <li><span>Familiarity with infrastructure as code (IaC) tools like Terraform or CloudFormation.</span></li>\n <li><span>Experience optimizing deep learning models for inference (e.g., using TensorRT, ONNX).</span></li>\n <li><span>A passion for building and shipping products with AI at their core.</span></li>\n</ul>",
"ObjectVerNumberProfile": null,
"PrimaryLocationCountry": "IN",
"CorporateDescriptionStr": "",
"ExternalPostedStartDate": "2026-05-07T07:35:03+00:00",
"ExternalQualificationsStr": "",
"InternalQualificationsStr": "",
"OrganizationDescriptionStr": "",
"primaryLocationCoordinates": [
{
"Latitude": "18.94017",
"Longitude": "72.83489",
"CountryCode": "IN",
"GeographyId": 300001463490272,
"GeographyNodeId": 100000357271117
}
],
"ExternalResponsibilitiesStr": "",
"InternalResponsibilitiesStr": "",
"InternationalTravelRequired": null
},
"list_job": {
"Id": "6455",
"Title": "Senior Engineer",
"JobType": null,
"Distance": 1778112000000,
"JobShift": null,
"Language": "US",
"WorkDays": null,
"JobFamily": null,
"Relevancy": 2,
"WorkHours": null,
"Department": null,
"HotJobFlag": false,
"PostedDate": "2026-05-07",
"StudyLevel": null,
"WorkerType": null,
"GeographyId": 300001463490272,
"JobFunction": null,
"JobSchedule": null,
"BusinessUnit": null,
"ContractType": null,
"ManagerLevel": null,
"Organization": null,
"TrendingFlag": true,
"workLocation": [
{
"Country": "IN",
"Region1": null,
"Region2": null,
"Region3": null,
"Building": null,
"Latitude": 19.16121,
"Longitude": 72.99644,
"LocationId": 300000002049172,
"PostalCode": "400708",
"TownOrCity": "Navi Mumbai",
"AddressLine1": "M/s. Serene Properties Pvt. Ltd. (SEZ)Unit No. 801, ",
"AddressLine2": "Building No. 5, Mindspace,Airoli",
"AddressLine3": null,
"AddressLine4": null,
"LocationName": "Mumbai - Unit 801"
}
],
"LegalEmployer": null,
"MediaThumbURL": null,
"WorkplaceType": "",
"BusinessUnitId": 300000002055021,
"OrganizationId": 1,
"PostingEndDate": null,
"LegalEmployerId": 300000002053001,
"PrimaryLocation": "Mumbai, Maharashtra, India",
"WorkDurationYears": null,
"WorkplaceTypeCode": null,
"BeFirstToApplyFlag": false,
"WorkDurationMonths": null,
"otherWorkLocations": [],
"secondaryLocations": [],
"ShortDescriptionStr": "As an AI Engineer, you will be a key contributor to the development, and deployment of our AI and machine learning infrastructure. You will be a hands-on coder, working with a team of talented engineers and scientists to build and maintain the platforms that bring our data science models to life. This role requires a strong software engineering background and a passion for the practical application of machine learning in real-world, high-performance applications.",
"requisitionFlexFields": [],
"DomesticTravelRequired": null,
"PrimaryLocationCountry": "IN",
"ExternalQualificationsStr": null,
"ExternalResponsibilitiesStr": null,
"InternationalTravelRequired": null
},
"detail_meta": {
"url": "https://eiyi.fa.ap1.oraclecloud.com/hcmRestApi/resources/latest/recruitingCEJobRequisitionDetails?expand=all&onlyData=true&finder=ById;Id=%226455%22,siteNumber=CX_3001",
"http_status": 200,
"content_type": "application/json",
"response_bytes": 6769
},
"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/0bd9d08fce7b707c141e7b8ca2ec401a08356f20?include=descriptionJSONGET https://api.bluedoor.sh/job-postings/v1/orgs/76bfd6ec-d347-43b4-974d-53e492384848JSONGET https://api.bluedoor.sh/job-postings/v1/sources/f459c900-6d49-4697-93d9-c54f0b3bbd25JSONGET https://api.bluedoor.sh/job-postings/v1/jobs/0bd9d08fce7b707c141e7b8ca2ec401a08356f20/eventsJSON