Oracle AI Techno-Functional Consultant

Vaisesika; India; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Vaisesika seeks an Oracle AI Techno-Functional Consultant to harness OCI and Oracle Cloud PD/PDH, delivering scalable AI/ML solutions across deployment, notebooks, pipelines, and model catalog.

You will work on data management, governance, data services, security and enterprise integrations, applying Python, SQL and ML frameworks to build production-ready intelligent applications.

Qualifications

• Experience with Oracle Cloud Infrastructure (OCI) and OCI AI/ML services.
• Hands-on design, train, deploy, and monitor scalable AI/ML solutions on Oracle Cloud.
• Knowledge of MLOps, DevOps, and enterprise AI governance.

Skills

Python

SQL

Pandas

ML frameworks

OCI Cloud

MLOps

Kubernetes

Git

Tools

OCI Data Science

Model deployment

Notebooks

Jobs & pipelines

Model catalog

Autonomous Database

Object Storage

Data Integration

Data Flow

OCI Streaming

Oracle Analytics Cloud

IAM & security

Job description

JD - Oracle AI Techno-Functional Consultant – OCI & Oracle Cloud PD/PDH:

• 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.