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HomeCompaniesEiyi Fa Ap1 Oraclecloud Com CX 3001Senior Engineer

Senior Engineer

Eiyi Fa Ap1 Oraclecloud Com CX 3001 · Mumbai - Unit 801, Navi Mumbai, IN · Active · Oracle Recruiting Cloud / Fusion HCM

Job facts

FieldValue
CompanyEiyi Fa Ap1 Oraclecloud Com CX 3001
TitleSenior Engineer
Normalized title-
Department / teamExecution
LocationNavi Mumbai, IN, United States
Work model-
Employment type-
Salary-
Statusactive
ATS providerOracle Recruiting Cloud / Fusion HCM
Posted / first seen2026-05-07 / 2026-05-31
Changed / last seen2026-06-03 / 2026-06-06

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PageWhat it containsOpen
Company jobsActive postings from Eiyi Fa Ap1 Oraclecloud Com CX 3001.Open
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ATS provider jobsActive postings observed through Oracle Recruiting Cloud / Fusion HCM.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Navi Mumbai.Open
Department jobsActive postings in Execution.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyEiyi Fa Ap1 Oraclecloud Com CX 3001
Sourcef459c900-6d49-4697-93d9-c54f0b3bbd25
ATS providerOracle 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 ID0bd9d08fce7b707c141e7b8ca2ec401a08356f20
Org ID76bfd6ec-d347-43b4-974d-53e492384848
Source IDf459c900-6d49-4697-93d9-c54f0b3bbd25
Board IDf459c900-6d49-4697-93d9-c54f0b3bbd25
Provideroracle_hcm
Provider Job Key6455
TitleSenior Engineer
Normalized Title
Statusactive
Activeyes
Location TextMumbai - Unit 801, Navi Mumbai, IN
DepartmentExecution
Team
Employment Type
Workplace Type
Remote Policy
CountryUnited States
RegionIN
CityNavi Mumbai
Salary RawDescription 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 URLhttps://eiyi.fa.ap1.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_3001/job/6455
Apply URLhttps://eiyi.fa.ap1.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_3001/job/6455
First Seen At2026-05-31 18:15:17Z
Last Seen At2026-06-06 11:50:14Z
Last Checked At2026-06-06 11:50:14Z
Last Changed At2026-06-03 11:55:36Z
Inactive At
Source Posted At2026-05-07 07:35:03Z
Source Updated At
Raw Payload Uris3://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
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Parsed Structured
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Extensions
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