Hi,
Job Title: Oracle Cloud Infrastructure with AI
Location: Pittsburgh, PA - Hybrid
Qualifications & Experience:
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical field.
- 10+ years of experience in software development, AI/ML, data science, or cloud technologies.
- 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.
Key Responsibilities:
- Design, build, train, deploy, and monitor scalable AI/ML solutions on Oracle OCI.
- Lead implementation of OCI AI/ML solutions using OCI Data Science, Model Catalog, pipelines, jobs, and model deployment.
- Design and develop Generative AI and RAG solutions using OCI Generative AI, embeddings, vector search, and semantic search.
- Develop and implement AI use cases including prediction, classification, recommendation, NLP, computer vision, and intelligent automation.
- Design and integrate Oracle Product Data and Product Data Hub (PD/PDH) solutions across enterprise systems.
- Develop solutions for product data management, hierarchy, item management, attributes, data quality, and governance.
- Build and optimize enterprise data pipelines using Autonomous Database, Object Storage, Data Integration, Data Flow, and OCI Streaming.