Oracle Cloud AI/ML Engineer - INTL India

Insight Global
Carlsbad, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Carlsbad, United States of America

Tech stack

Artificial Intelligence
Computer Vision
Cloud Computing
Cloud Computing Security
Cloud Database
Computer Programming
Data as a Services
Data Integration
DevOps
Identity and Access Management
Python
Machine Learning
Natural Language Processing
Oracle Applications
TensorFlow
Azure
Search Technologies
SQL Databases
Data Streaming
Enterprise Data Management
Retrieval-Augmented Generation
Prompt Engineering
Generative AI
GIT
Pandas
Oracle Service Cloud
Kubernetes
Machine Learning Operations
Oracle Cloud Infrastructure

Job description

We are seeking an experienced Oracle Cloud AI/ML & Product Data Hub (PDH) Consultant to design, develop, and deploy enterprise-grade AI/ML solutions while leveraging Oracle Cloud Product Data Management (PD) and Product Data Hub (PDH) capabilities. The ideal candidate will have deep expertise in Oracle Cloud Infrastructure (OCI), OCI AI/ML services, Oracle PD/PDH modules, Generative AI, MLOps, and enterprise data management.

Requirements

Strong hands-on expertise in Oracle Cloud Infrastructure, especially OCI AI/ML services, OCI Data Science, model deployment, notebooks, jobs, pipelines, and model catalog.

  • Strong experience with Oracle Cloud PD and PDH modules, including product data management, product hierarchy, item management, attributes, data quality, governance, and enterprise integrations.

  • Design, build, train, deploy, and monitor scalable AI/ML solutions on Oracle Cloud, including classification, prediction, recommendation, NLP, computer vision, and intelligent automation use cases.

  • Hands-on experience with OCI Generative AI, prompt engineering, embeddings, vector search, retrieval-augmented generation, semantic search, and enterprise GenAI solution development.

  • Strong programming and data science skills using Python, SQL, pandas or similar ML frameworks.

  • Experience with Oracle Cloud data services such as Autonomous Database, Object Storage, Data Integration, Data Flow, OCI Streaming, and Oracle Analytics Cloud.

  • Knowledge of MLOps and DevOps practices, including Git, Kubernetes, OCI Container Engine for Kubernetes, model lifecycle management, monitoring, and retraining.

  • Strong understanding of cloud security, IAM, networking, encryption, data privacy, responsible AI, model explainability, and enterprise AI governance.

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