Senior Manager, Machine Learning
1 month ago
At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world.
Oracle Generative AI Service is an exciting team in Oracle Cloud Infrastructure. We are delivering innovative services at the intersection of artificial intelligence and cloud infrastructure. In Generative AI Service team, you will build and operate massive-scale cloud services leveraging state of art machine learning technologies. We are committed to providing the best in cloud products to meet the needs of our customers who are tackling some of the world’s most challenging problems.
You will be part of a team of smart, hands-on scientists and engineers with the expertise and passion to solve difficult problems in distributed highly available services and virtualized infrastructure. At every level, our engineers have a significant technical and business impact by designing and building innovative new systems to power our customer’s business critical applications.
As a Senior Manager of Machine Learning, you will lead and manage a team of machine learning engineers and Applied scientists who are responsible for machine learning model selection, evaluation, benchmarking, tuning, production deployment & monitoring of LLMs to develop new capabilities in the Generative AI & AI Agent areas.
Responsibilities:
Lead, manage and mentor a team of machine learning engineers and applied scientists Collaborate with product managers to translate business and product requirements into AI projects. Collaborate with fellow technical leaders to ensure the successful and timely delivery of models and integration of services. Coordinate with global teams to drive projects from research to production. Develop new OCI services and features leveraging recent advances in generative AI, machine learning and deep learning. Design and review the architecture of generative AI, including data, model, training, and evaluation, employing best practices. Participate in project planning, review, and retrospective sessions. Identify and mitigate risks in our plans and executions, especially at the intersection of business and engineering. Interact with customers to understand requirements, resolve model quality issues and answer technical queries related to Generative AI use casesQualifications and Experience:
Bachelor's or Master's Degree in Computer Science or Sciences. PhD in relevant area will be a plus 10+ years overall experience, with at least 2 years in people manager role Demonstrated experience in designing and implementing scalable AI models for production. Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers. 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. Proven experience in designing data collection/annotation solutions and systematic evaluation necessary for developing and maintaining production systems including ML infrastructure Knowledge of or experience in Retrieval-Augmented Generation, Code Generation, NL to SQL translation or related Agent application of Generative AI Commitment to staying up-to-date with the field and applying academic advances to solve complex business problems, and bringing them into production.Preferred Qualifications:
Knowledge and experience in cloud infrastructure, distributed systems, API development / integration Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc. Familiarity and experience with the latest advancements in computer vision and multimodal development is a plus.Career Level - M3
As a Senior Manager of Machine Learning, you will lead and manage a team of machine learning engineers and Applied scientists who are responsible for machine learning model selection, evaluation, benchmarking, tuning, production deployment & monitoring of LLMs to develop new capabilities in the Generative AI & AI Agent areas.
Responsibilities:
Lead, manage and mentor a team of machine learning engineers and applied scientists Collaborate with product managers to translate business and product requirements into AI projects. Collaborate with fellow technical leaders to ensure the successful and timely delivery of models and integration of services. Coordinate with global teams to drive projects from research to production. Develop new OCI services and features leveraging recent advances in generative AI, machine learning and deep learning. Design and review the architecture of generative AI, including data, model, training, and evaluation, employing best practices. Participate in project planning, review, and retrospective sessions. Identify and mitigate risks in our plans and executions, especially at the intersection of business and engineering. Interact with customers to understand requirements, resolve model quality issues and answer technical queries related to Generative AI use cases-
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