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Oracle · 1 month ago

Principal Cloud Architect, AI Computational Data Scientist

United States

Full-time

Remote

Senior Level, Lead/Staff

6+ years exp

Oracle is a pioneering force in cloud technology, merging the agility of startups with the robustness of an enterprise software leader. They are seeking an experienced Principal Applied Data/Computational Scientist to design, develop, and deploy tailored Gen-AI solutions, collaborating with applied scientists and product managers to address complex global challenges.

Data GovernanceData ManagementEnterprise SoftwareInformation TechnologySaaSSoftware

No H1B

Responsibilities

Collaborate with applied scientists and product managers to design, develop, and deploy tailored Gen-AI solutions

Identify, solution, and implement AI solutions to the corresponding GPU IaaS or PaaS

Contribute to large-scale cloud solutions utilizing cutting-edge machine learning technologies

Qualification

Large Language ModelsOpenSearchAI model implementationPythonData ingestion pipelinesGenerative AIDeep Learning frameworksMachine Learning architecturesCollaboration with PMsTechnical communicationMentoring

Required

Doctoral or master's degree in computer science or equivalent technical field with 10+ years of experience

Able to optimally communicate technical ideas verbally and in writing (technical proposals, design specs, architecture diagrams and presentations)

Demonstrated experience in designing and implementing scalable AI models and solutions for production, relevant professional experience as end-to-end solutions engineer or architect (data engineering, data science and ML engineering is a plus), with evidence of close collaborations with PM and Dev teams

Experience with OpenSearch, Vector databases, PostgreSQL and Kafka Streaming

Practical experience with setting up and finetuning large OpenSearch Clusters

Experience in setting up data ingestion pipelines with OpenSearch

Experience with search algorithms, indexing, optimizing latency and response times

Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like Tree-of-Thoughts

Familiarity with Agents and Agent frameworks and Model Context Protocol (MCP)

Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc

Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences

Ability and passion to mentor and develop junior machine learning engineers

Proficient in Python and shell scripting tools

Preferred

PhD/Masters in related field with 5+ years relevant experience

Experience with RAG based solutions architecture. Familiarity in OpenSearch and Vector stores as a knowledge store

Knowledge of LLM and experience delivering, Generative AI And Agent models are a significant plus

Familiarity and experience with the latest advancements in computer vision and multimodal modeling is a plus

Experience with semantic search, multi-modal search and conversational search

Experience in working on a public cloud environment, and in-depth knowledge of IaaS/PaaS industry and competitive capabilities. Experience with popular model training and serving frameworks like KServe, KubeFlow, Triton etc

Experience with LLM fine-tuning, especially the latest parameter efficient fine-tuning technologies and multi-task serving technologies

Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers

Experience with deep learning frameworks (such as PyTorch, JAX, or TensorFlow) and deep learning architectures (especially Transformers)

Experience in diagnosing, fixing, and resolving issues in AI model training and serving