oracle - United States | 2024-08-15 08:21:01

As part of the OCI Gen AI and Data Solutions for strategic customers team, you will be responsible for developing innovative Gen AI and data services for our strategic customers. As a Principal member of the technical staff, you`ll lead the development of advanced Gen AI solutions using the latest ML technologies combined with Oracle`s cloud expertise. Your work will significantly impact sectors like financial services, telecom, healthcare, and code generation by creating distributed, scalable, high-performance solutions for strategic customers.

• Work directly with key customers and accompany them on their Gen AI journey – understanding their requirements, help them envision and design and build the right solutions and work together with their ML engineering to remove blockers.
• You will dive deep into model structure to optimize model performance and scalability. 
• You will build state of art solutions with brand new technologies in this fast-evolving area. 
• You will configure large scale OpenSearch clusters, setting up ingestion pipelines to get the data into the OpenSearch.
• You will diagnose, troubleshoot, and resolve issues in AI model training and serving. You may also perform other duties as assigned.
• Build re-usable solution patterns and reference solutions / showcases that can apply across multiple customers.
• Be an enthusiastic, self-motivated, and a great collaborator.
• Be our product evangelist - engage directly with customers and partners, participate and present in external events and conferences, etc.

Qualifications and experience

• Bachelors or master’s 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 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.
• Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc.
• Proven experience in designing data collection/annotation solutions and systematic evaluation necessary for developing and maintaining production systems.
• 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 Qualifications:

• Masters or Bachelor`s 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 Large Language Models (LLMs) serving technologies like DeepSpeed, FasterTransformer etc.
• 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.

Career Level - IC4

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