Oracle OCI AI Lead

Programmers.io; Pittsburgh (Allegheny County); On-site; USD 120,000 - 170,000; Full time

Job summary

Programmers.io in the United States seeks an experienced AI/ML Cloud Engineer to lead Oracle Cloud Infrastructure projects. You will design and deploy scalable AI/ML solutions on OCI, including data science workflows, model deployment, and governance.

Strong emphasis on GenAI, embeddings, vector search, and enterprise integration. Candidates should be proficient in Python/SQL, data engineering, and MLOps with Kubernetes and Git.

Qualifications

• Experience with Oracle Cloud Infrastructure and OCI AI/ML services.
• Knowledge of PD/PDH modules including product data management and governance.
• Design, train, deploy, and monitor scalable AI/ML solutions on Oracle Cloud.
• Hands-on with OCI Generative AI, embeddings, vector search, RAG, semantic search.
• Strong Python, SQL, and Pandas skills for data science.
• Familiarity with data services such as Autonomous Database, Object Storage, Data Integration, Data Flow.
• Knowledge of MLOps and DevOps practices, including Git and Kubernetes.
• Understanding of cloud security, IAM, networking, encryption, data privacy, and responsible AI.

Skills

Oracle Cloud Infrastructure

OCI AI/ML services

OCI Data Science

Model deployment

Python

SQL

Pandas

Kubernetes

Git

Model lifecycle management

Tools

Jupyter Notebooks

OCI Container Engine for Kubernetes

Autonomous Database

Object Storage

Job description

• 
  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