Advertisement:



Technical Specialist, Ai Infrastructure And Machine Learning Operations

Hong Kong, Hong Kong
Last update 2024-05-25
Expires 2024-06-25
ID #2153521857
Free
Technical Specialist, Ai Infrastructure And Machine Learning Operations
Hong Kong, Hong Kong,
Modified May 13, 2024

Description

Technical Specialist, AI Infrastructure and Machine Learning Operations Apply info_outline info_outline X Info Google welcomes people with disabilities. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hong Kong; Beijing, China; Shanghai, China. Google welcomes people with disabilities. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hong Kong; Beijing, China; Shanghai, China. Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.5 years of experience with cloud infrastructure. Experience building and operationalizing machine learning models. Preferred qualifications: Experience training and fine-tuning large models (i.e., image, language, segmentation, recommendation, genomics) with accelerators. Experience with performance profiling tools (i.e., Tensorflow profiler, Py Torch profiler, Tensorboard). Experience with running MLPerf benchmarks, distributed training and optimizing performance versus costs. Familiarity with libraries and frameworks such as Hugging Face Transformers, CUDA, Pytorch, Pytorch/XLA etc. Ability to engage with C-level or executive business leaders and influence decisions. About the job The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. About the job The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. In this role, you will guide customers with platform architecture, migration strategy, and analyze cost/performance benchmarks to help them train and serve ML models at scale. You will work closely with cross-functional AI teams, Product and Engineering, Infrastructure, and Kubernetes specialists to remove roadblocks and shape the future solutions for customers. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Be a trusted advisor to customers, helping them understand and incorporate AI accelerators into their overall cloud strategy by recommending migration paths, integration strategies, and application architecture that incorporate Google Cloud AI optimized infrastructure. Demonstrate how Google Cloud is differentiated, highlighting the power of accelerators by working with customers on proof-of-concepts, demonstrating features, optimizing model performance, profiling, and bench-marking. Build repeatable assets to enable other customers and internal teams. Influence Google Cloud strategy at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements. Travel to customer sites and events as needed. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
#J-18808-Ljbffr

Job details:

Job type: Full time
Contract type: Permanent
Salary type: Monthly
Occupation: Technical specialist, ai infrastructure and machine learning operations

⇐ Previous job

Next job ⇒     

 

Contact employer

    Employer's info

    Quick search:

    Location

    Type city or region

    Keyword


    Advertisement: