Are you passionate to help startups accelerate their journey with Machine Learning and Cloud Computing?
The Startup Solutions Architecture team is dedicated to working with early stage startup companies as they build their businesses. Startups are the large enterprises of the future. We’re here to make sure that they can deploy the best, most scalable, and most secure architectures possible – and that they spend as little time and money as possible doing so. This is where you come in.
We are looking for technical builders with deep expertise in designing ML solutions to help early stage startups as they grow. In this role, you’ll work directly with a variety of interesting customers and help them make the best (and sometimes the most pragmatic) technical decisions along the way. You’ll have a chance to build enduring relationships with these companies and establish yourself as a trusted advisor.
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 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.
Key job responsibilities
- Work with customer’s ML team to deeply understand their business and technical needs and design ML solutions that make the best use of the AWS Cloud platform and ML services.
- Act as a technical liaison between customers and the service engineering teams to provide product enhancement feedback.
- Develop and support an AWS internal community of AI related subject matter experts.
- Capture and share best-practice knowledge amongst the AWS solutions architect community
- Build deep relationships with senior technical individuals within customers to enable them to be cloud advocates
- Thought Leadership – Evangelize AWS Services and share best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc.
- Open to travel up to 30%
Basic Qualifications
- 8+ years of experience architecting, building, or operating -based applications or infrastructures
- Technical degree required; Computer Science or Math background desired
- 2+ years relevant experience in technology/software sales or pre-sales consulting
Preferred Qualifications
- Data science background and experience manipulating/transforming data, model selection, model training, cross-validation and deployment at scale.
- Experience with Machine and Deep Learning toolkits such as MXNet, TensorFlow, Caffe and Torch.
- Experience with AWS services related to AI/ML highly desirable, particularly AmazonSageMaker, Amazon EMR, AWS Lambda, Amazon DynamoDB, Amazon S3 etc.
- Experience in the startup community as either a founder, mentor, investor, or early technical employee
- Experience architecting/operating solutions built on
- Presentation skills with a high degree of comfort speaking with executives, IT Management, and developers
- Excellent communication skills with an ability to right level conversations
- Demonstrated ability to adapt to new technologies and learn quickly
Company - Amazon Web Services Singapore
Job ID: A2062298