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Lead AI Cloud Architect & Data ScientistOracleUnited States

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Lead AI Cloud Architect & Data Scientist

Oracle
  • US
    United States
  • US
    United States

À propos

Join Our Team! Oracle Cloud Infrastructure (OCI) is at the forefront of cloud technology, combining the agility of innovative startups with the reliability of a prominent enterprise software leader. Within OCI, the Oracle AI Infra / Gen AI Cloud Engineering team is dedicated to pioneering solutions at the intersection of artificial intelligence and cloud infrastructure. This is an exciting opportunity to be a key contributor to large-scale cloud solutions leveraging the latest machine learning technologies, focused on solving impactful global challenges. We are currently seeking an experienced Lead Applied Data/Computational Scientist to become a vital part of our Cloud Engineering team, working with strategic customers. In this role, you will collaborate closely with applied scientists and product managers to design, develop, and deploy customized Gen-AI solutions, with a particular focus on Large Language Models (LLMs), Agents, Model Context Protocol (MCP), and Retrieval Augmented Generation (RAG) utilizing extensive OpenSearch clusters. You will take the lead in identifying, designing, and implementing AI solutions tailored for GPU IaaS or PaaS environments. Qualifications and Experience: Doctoral or master's degree in computer science or related technical field with 10+ years of experience. Excellent communication skills for conveying complex technical concepts through proposals, design specs, architecture diagrams, and presentations. Proven expertise in designing and deploying scalable AI models and solutions for production, with solid experience as an end-to-end solutions engineer or architect combining data engineering, data science, and machine learning engineering, fostering collaboration with product management and development teams. Familiarity with OpenSearch, Vector databases, PostgreSQL, and Kafka Streaming. Hands-on experience in setting up and optimizing large OpenSearch clusters and data ingestion pipelines. Knowledge of search algorithms, including indexing and optimizing latency and response times. Experience with current technologies in LLM and generative AI, including parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like Tree-of-Thoughts. Understanding of Agents and Agent frameworks as well as Model Context Protocol (MCP). Hands-on experience with modern LLM frameworks and plugins such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), and Guidance. Strong publication record as a lead author or reviewer in reputable journals or conferences. A passion for mentoring and developing junior machine learning engineers. Proficiency in Python and shell scripting tools. Preferred Qualifications: Advanced degree in a related field with 5+ years of relevant experience. Experience in RAG-based solution architecture, with familiarity in OpenSearch and vector stores as knowledge repositories. Knowledge of LLM and experience deploying, Generative AI & Agent models highly considered. Exposure to the latest developments in computer vision and multimodal modeling is a bonus. Experience with semantic search, multi-modal search, and conversational search. Experience in public cloud environments with a solid understanding of IaaS/PaaS services and competitive capabilities. Familiarity with model training and serving frameworks like KServe, KubeFlow, and Triton is preferred. Experience in LLM fine-tuning, especially in state-of-the-art parameter-efficient fine-tuning and multi-task serving technologies. In-depth knowledge of machine learning and deep learning architectures, especially Transformers, training methods, and optimizers. Experience with deep learning frameworks (e.g., PyTorch, JAX, TensorFlow) and architectures, especially Transformers. Skills in diagnosing, addressing, and resolving AI model training and serving issues. Responsibilities: As a key member of the OCI Gen AI Cloud Engineering team, your primary responsibility is to develop innovative Gen AI and data services tailored for our strategic customers. You will lead the creation of advanced Gen AI solutions, incorporating cutting-edge machine learning technologies alongside Oracle's cloud capabilities. Your impact will resonate across sectors such as financial services, telecommunications, healthcare, and code generation by delivering distributed, scalable, high-performance solutions to meet customer needs. Engage directly with key customers, guiding them through their Gen AI journey—understanding their requirements, helping them envision and design suitable solutions, and collaborating with their ML engineering teams to overcome challenges. Deep dive into model architectures to enhance performance and scalability. Develop state-of-the-art solutions using emerging technologies within this rapidly evolving field. Configure large-scale OpenSearch clusters, establishing ingestion pipelines for data integration. Diagnose, troubleshoot, and resolve issues during AI model training and serving, with additional duties as assigned. Create reusable solution patterns and reference architectures for application across multiple clients. Serve as a product evangelist—actively engage with customers and partners, and represent Oracle at external events and conferences. Disclaimer: Certain US customer or client-facing roles may be required to comply with applicable requirements such as immunization and occupational health mandates. Compensation and Benefits: The hiring range for this role is between $113,100 and $185,100 per annum, with eligibility for equity and a commission structure estimated at a pay mix of 70/30. Oracle offers a broad salary range to accommodate variations in knowledge, skills, experience, market conditions, and locations. Oracle US provides a comprehensive benefits package, including medical, dental, and vision insurance, disability coverage, life insurance, retirement savings plans, flexible vacation policies, paid holidays, paid sick leave, and various additional options to support employees and their families. Your career with Oracle opens the door to global opportunities that foster work-life balance while encouraging community involvement through volunteer programs. Join us at Oracle and be part of a diverse and innovative workforce that is committed to inclusion and empowerment.
  • United States

Compétences linguistiques

  • English
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