Sr. Applied Scientist, AWS GCR CTO Office [China]

 

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• Master degree or equivalent experience; Computer Science or Math background preferred.
• Experience with GenAI/LLM/NLP
• 3+ years’ experience of Machine Learning / AI / Big Data Analytic platform implementation, including 2+ years of hands-on experience in implementation and performance tuning Deep Learning / Machine Learning implementations.
• Customer facing skills to represent AWS well within the customer’s environment and drive discussions with senior personnel regarding trade-offs, best practices, project management and risk mitigation. Should be able to interact with Chief Marketing Officers, Chief Risk Officers, Chief Technology Officers, and Chief Information Officers, as well as the people within their organizations.
• Demonstrated ability to think strategically about business, product, and technical challenges in an enterprise environment. Track record of thought leadership and innovation around Machine Learning.
• Experience with analytic solutions applied to the Marketing or Risk needs of enterprises
• Highly technical and analytical, possessing 3 or more years of IT platform implementation experience.
• Deep understanding of Machine Learning / Deep Learning algorithms and platforms, especially in MXNet, PyTorch or Tensorflow, or relevant experiences in using Matlab or other algorithm tools.
• Experience developing software code in one or more programming languages (Java, JavaScript, Python, etc).
• Current hands-on implementation experience required
• Ability to travel to client locations to deliver professional services when needed.

Are you a Big Data/Machine Learning/AI specialist? Do you have machine learning, deep learning or algorithm experience? Do you like to solve the most complex and high scale (billion + records) data challenges in the world today? Would you like a career that gives you opportunities to help customers and partners use cloud computing to do big new things faster and at lower cost? Do you want to be part of history and transform businesses through cloud computing adoption? Do you like to work on-site in a variety of business environments, leading teams through high impact projects that use the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of intelligent cloud technologies?

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our
customers and partners on key engagements. Our architects will develop and deliver proof-of-concept projects,
technical workshops, and support implementation projects. These experts’ engagements will focus on customer solutions such as growth hacking, AIOPS, spatiotemporal analytic, image recognition, nature language processing and other predictions. This role will specifically focus on machine learning/big data analytic capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights.

You'll work closely with AWS Field Teams including Solution Architects, Technical Account Managers, and AWS Service Developers to partner with customers to solve hard problems with intelligence. Every day, you'll be working with Customers to determine the optimal implementation, build it, prove it works, and technical assets to enable the customer’s intelligence journey. If you are builder, and love data/AI, then this could be your ideal job!

We are looking for someone who is passionate about:

• Expertise - Collaborate with AWS field sales, pre-sales, services teams, training and support teams to help partners and customers learn and use AWS services in Analytics and Machine Learning area.
• Solutions - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Machine Learning service offerings.
• Entablements - Engagements include short on-site projects proving the use of AWS services to support new Machine Learning solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services.
• Insights - Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services. Extract best-practice knowledge, reference architectures, and patterns from these engagements for sharing with the Great China Region as well as worldwide AWS solution architect community
• Push the envelope – Cloud computing is reducing the historical “IT constraint” on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Machine Learning / Analytic / Big Data cloud computing.

This role is a senior role in the Solutions Architecture organization at AWS. This role provides a unique opportunity to lead innovations and transformational change with large Enterprise customers in their journey to cloud.

About the team
Amazon is striving to be the Earth’s Best Employer, providing thoughtful employee benefits apart from standard offerings:

• Family friendly policies and benefits, such as enhanced parental leave
• Mother’s room facilities
• Robust Learning programs designed from functional/technical skills and soft skills to nurture employees’ personal growth etc.

We aim to create a safer and considerate environment to nurture productive high performing teams to work hard, have fun and make history.

CULTURE AND COMMITMENT TO INCLUSION, DIVERSITY & EQUITY

Here at AWS, we welcome all builders. We believe that technology should be built in a way that’s inclusive, accessible, and equitable. We’re committed to putting in the work for more equal representation

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer, and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status.

We are open to hiring candidates to work out of one of the following locations:

Beijing, 11, CHN | Shanghai, CHN | Shenzhen, CHN

• 5+ years of experience of IT platform implementation in a highly technical and analytical role.
• Masters or PhD in Computer Science, Physics, Engineering or Math.
• Hands on experience leading large-scale global data warehousing and analytics projects.
• Strong verbal and written communications skills and ability to lead effectively across organizations.
• Deep understanding of AI and data related infrastructure, such as Hadoop/Spark/Flink/MySQL and etc.
• Demonstrated industry leadership in the fields of data sciences.
• Track record of implementing AWS services in a variety of distributed computing, enterprise environments
• Led a cloud initiative as an AWS customer or consulting with a customer in their own IT transformation.
• Knowledgeable on open source technologies on IoT/image/NLP/video/digital marketing/spatiotemporal/graph database or other edge technologies.

Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.

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