Oracle AI Consultant

Cynet Systems • Pittsburgh, PA

1d

About The Position

We are seeking an experienced Oracle AI Consultant with strong hands-on expertise in Oracle Cloud Infrastructure (OCI), particularly its AI/ML services. The ideal candidate will have extensive experience with Oracle Cloud PD and PDH modules, covering product data management, hierarchy, item management, attributes, data quality, governance, and enterprise integrations. A key requirement is hands-on experience with OCI Generative AI, including prompt engineering, embeddings, vector search, retrieval-augmented generation, semantic search, and developing enterprise GenAI solutions. Strong programming and data science skills using Python, SQL, pandas, or similar ML frameworks are essential. Experience with OCI data services like Autonomous Database, Object Storage, Data Integration, Data Flow, OCI Streaming, and Oracle Analytics Cloud is also required. Knowledge of MLOps and DevOps practices, including Git, Kubernetes, OCI Container Engine for Kubernetes, model lifecycle management, monitoring, and retraining, is crucial. A solid understanding of cloud security, IAM, networking, encryption, data privacy, responsible AI, model explainability, and enterprise AI governance is necessary.

Requirements

• Strong hands-on expertise in Oracle Cloud Infrastructure, especially OCI AI/ML services.
• Strong experience with Oracle Cloud PD and PDH modules, including product data management, product hierarchy, item management, attributes, data quality, governance, and enterprise integrations.
• 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.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed