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Are you passionate to help customers accelerate their journey with Machine Learning and Cloud Computing? AWS Machine Learning Product Management team AWS is looking for an experienced technical leader for a migrations focused Solutions Architecture team with expertise in designing ML solutions to enable rapid adoption by customers.
This is a management position for someone who can build teams quickly, recognize and coach top technical talent, establish relationships and set strategy at a senior level with AWS product teams, measure and deliver results, and also get hands-on to help build complex, AWS-optimized architectures. The right candidate should have experience building and leading distributed teams of senior architects or similar roles at companies or large enterprises. You will partner with field SAs, Sales, Business Development and the ML Service teams to enable data migration and rapid adoption of Machine learning services.
You will have the opportunity to help shape and execute a strategy to build mindshare and broad use of AWS within startups and enterprise customers. The ML Migration Architects team will help enterprise customers design machine learning solutions that leverage Company SageMaker on AWS. You will also partner with target ISV partners to develop deeper technical integration with Company SageMaker. The ideal candidate must be self-motivated with a proven track record in machine learning and solution architecture. You should be technically adept to complement customer teams in their adoption of AWS ML services. You should also have a demonstrated ability to think strategically about business, products, and technical challenges.
Company is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.
5+ leading senior technical teams distributed across the US or globally
10+ years design/implementation/consulting experience with Enterprise applications
5+ years professional experience in software development in languages like Java, Python, Scala. Experience working with RESTful API and general service-oriented architectures
Deep understanding and experience in the field of AI, Machine Learning, Deep Learning and related technologies
Experience developing ML models in real-world environments and integrating AI/ML and other AWS services into large-scale production applications
Technical degree required; Computer Science or Math background highly desired
2+ years design/implementation/consulting experience building cloud solutions using AWS
Experience with Machine and Deep Learning toolkits such as MXNet, TensorFlow, Caffe and PyTorch
Experience migrating or transforming legacy customer solutions to the cloud
Presentation skills with a high degree of comfort speaking with executives, IT Management, and developers
Strong written communication skills
High level of comfort communicating effectively across internal and external organizations
Demonstrated ability to adapt to new technologies and learn quickly
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