What are the responsibilities and job description for the AI Engineer position at Oracle?
Experienced professionals
- 5 years of experience in the Artificial Intelligence field.
- Experience in a management or technical leadership position in AI / Data Science / Machine Learning.
- Experience in pre-sales at Tech companies (Oracle, Azure, AWS, GCP, Databricks, Cloudera, Sales Force, IBM, Dell, SAP, SnowFlake).
- Experience in the role of AI Solution Architect.
- Solid educational background: PhD in Computer Science, Computer Engineering or related field.
Technical knowledge:
- Generative AI - LLM (Large Language Model), LMM (Large Multimodal Model).
- Traditional AI - Fraud detection, anomaly detection, product recommendation, etc.
- Python, PyTorch, Scikit-learn, CUDA, TensorFlow, etc.
- HPC (High Performance Computing), GPU infrastructure.
- Nvidia AI Enterprise Platform.
- Main cloud providers (Oracle, Azure, AWS, GCP) AI products.
- Quantum computing or quantum processing simulation.
- NPL (Natural Language Processing), Computer Vision, Digital Twin, Optimization..
Career Level - IC3
Responsibilities:
Responsible for participating in customer engagements to collaboratively design and implement solutions. May work directly with customers to gather requirements, develop architectures and translates business needs into solutions. Implements solutions and ensures successful deployments through code development and scripting. Displays product/application understanding through more customized presentation demonstrations to customers and at conferences and events. Supports customer from Proof of Concept (POC) through production deployment of services via resource configuration, planning, and customer education/training. Creates and distributes technical assets (white papers, solution code, blog posts, and video demonstrations). Serves as a technical point of contact for customers and sales on technical cloud solutions and customer success. Further builds business and technical acumen.
