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Description The ability to apply such methods to solve business problems in combination with building data pipelines, data streams, and system integration. Develop and solidify client relationships through excellent communication, positive attitude, adaptability, and strong work ethic to become the trusted partner of clients. Support the planning and implementation of data design services, providing sizing and configuration assistance and performing needs assessments. Requirements 9 Years of experience working Microsoft Azure data platform and an excellent grasp of the following Azure Cloud... more ->
Position Summary . What you'll do . We are seeking phenomenal Data scientists and Applied Machine Learning engineers to support our Personalization and Item Recommendation development efforts with our eCommerce team. About Personalization @ eCommerce: The Personalization team consists of platform, application engineers, scientists and product visionaries all working together to design, prototype and build technology-driven products and experiences that will change the future landscape of ecommerce. We are focused on building the global service layer that will enable the end-to-end customer... more ->
Job ID: J- Introduction to the Job The ASML Silicon Valley Development Operations and HPC Team continuously improves on 7 main processes: Code, Build, Test, Package, Release, Configure, Monitor. A successful candidate will be expected to lead a team tasked with providing an infrastructure capable of delivering products of the highest quality for our software developers and test engineers. This position is a key member of the Engineering Operations team as the Manager for DevOps and High Performance Computing (HPC) in the Cloud. This individual will be a senior manager overseeing a team of... more ->
About the Team The Supercomputing Scheduling Pillar at OpenAI is dedicated to ensuring the reliability, scalability, and user-friendliness of job lifecycle management, with an emphasis on efficient and flexible job scheduling, quota management, and job execution workflows. We maximize researcher productivity by ensuring high goodput, efficient packing, and a consistent, ergonomic training workflow, while scaling to ever larger supercomputers while reducing operational burden to the team. About the Role As an engineer in the Scheduling Pillar, you will design, write, deploy, and operate job... more ->
RDQ424R175 Our mission at Databricks is to be the generational Data and AI company. Databricks has created a new market category of the Data Lakehouse (CIDR 2021 paper), an open platform that unifies data warehousing, ELT, advanced analytics, and AI. The Lakehouse architecture addresses several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support. This is a unique opportunity to spearhead the inception of an innovative product line and have a huge impact on the entire lakehouse ecosystem. We are looking for a seasoned... more ->