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[Remote] Master Principal Architect AI Computational Scientist
Note: The job is a remote job and is open to candidates in USA. NetSuite, a part of Oracle, is a leader in cloud technology, focusing on innovative solutions that merge artificial intelligence with cloud infrastructure. The Master Principal Architect AI Computational Scientist will design and implement advanced AI solutions, collaborating with applied scientists and product managers to develop tailored Gen-AI solutions utilizing cutting-edge machine learning technologies. Responsibilities • 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 Skills • 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 • 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 Benefits • Medical, dental, and vision insurance, including expert medical opinion • Short term disability and long term disability • Life insurance and AD&D • Supplemental life insurance (Employee/Spouse/Child) • Health care and dependent care Flexible Spending Accounts • Pre-tax commuter and parking benefits • 401(k) Savings and Investment Plan with company match • Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. • 11 paid holidays • Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. • Paid parental leave • Adoption assistance • Employee Stock Purchase Plan • Financial planning and group legal • Voluntary benefits including auto, homeowner and pet insurance Company Overview • NetSuite is cloud computing company dedicated to delivering business applications over the internet. It was founded in 1998, and is headquartered in Redwood Shores, California, USA, with a workforce of 10001+ employees. Its website is Apply tot his job
