Oracel AI

Compunnel, Inc.; Pittsburgh, Northern (Allegheny County, KY); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Compunnel, Inc. seeks an AI/ML professional to design, train, deploy, and monitor scalable Oracle Cloud AI/ML solutions. You will leverage OCI AI/ML services, Data Science, and GenAI tooling to deliver enterprise-grade models and workflows.

Proficiency in Python, SQL, and ML frameworks, plus hands-on experience with OCI data services, Git, and Kubernetes, is essential for governance and robust lifecycle management.

Qualifications

• 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.
• 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.

Skills

OCI AI/ML

OCI Data Science

Model deployment

Python

SQL

Pandas

MLOps

Kubernetes

GenAI

Data privacy

Tools

Git

OCI Container Engine for Kubernetes

Job description

JOB SUMMARY 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 Cloud, including classification, prediction, recommendation, NLP, computer vision, and intelligent automation use cases.

Required Qualifications

• 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.
• 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.