Partner Solutions Architect - ML

Job description

DESCRIPTION

Are you passionate about Machine Learning (ML), Deep Learning and Artificial Intelligence (AI)? Are you excited by the challenge of driving production usage of ML and AI? Come join us!

ML and AI are rapidly growing in importance. We're seeing more and more amazing AI work being done from home automation and mobile apps to financial trading and shipping logistics. Given the scale required for developing AI models, the cloud is an ideal place to deploy AI models, and Amazon Web Services (AWS) is the leader in the deployment of AI. We're looking for someone passionate and deeply excited about this space. Someone who is devoted to helping customers understand how AI can make a big difference to their businesses.

As an Partner Solution Architect within Amazon Web Services (AWS), you will have the opportunity to help shape and deliver on a strategy to build mind share and broad use of Amazon's utility computing and storage services. Your broad responsibilities will include owning the technical engagement with strategic ISV partners, sharing knowledge about partner offerings with other teams and running scale programs like TechShift.

As a Machine Learning Specialist Solutions Architect (SA), you will be the Subject Matter Expert (SME) for designing machine learning solutions that leverage AWS services to automate solutions and drive down costs for customers. Part of the Data and Analytics Specialist Solutions Architecture team, you will work closely with the other Specialist SAs on Big Data, Databases and Analytics, as well as the Business Development teams, to enable large-scale customer use cases and drive the adoption of AWS for ML/AI platforms. You will interact with other SAs in the field, providing guidance on their customer engagements, and you will develop white papers, blogs, reference implementations, and presentations to enable customers and 3rd parties to fully leverage ML/AI on AWS. You will also create field enablement materials for the broader SA population, to help them understand how to integrate AWS ML solutions into customer architectures.

You must have deep technical experience working with technologies related to artificial intelligence, machine learning and/or deep learning. A strong mathematics and statistics background is preferred, in addition to experience building complex classification models. You will be familiar with the ecosystem of software vendors in the AI/ML space, and will leverage this knowledge to help AWS customers in their selection process.

Candidates must have great communication skills and be very technical, with the ability to impress AWS customers at any level, from executive to developer. Previous experience with AWS is desired but not required, provided you have experience building large scale solutions. You will get the opportunity to work directly with senior engineers at customers, partners and AWS service teams, influencing their roadmaps and driving innovation.
If you are someone who enjoys innovating, likes solving hard problems and working on the cutting edge of technology, we would love to have you on the team.

Responsibilities:

As a strategic member of the AWS Partner Solutions Architect team, you will act as a trusted advisor to our partners.

This includes:

· Providing the architectural guidance and recommendations necessary to promote successful engagements with partners across ASEAN countries.
· Assisting ISV partner with the definition of technical strategies that will enable them to sell more of their offering on the AWS platform.
· Capture and share best-practice knowledge with our broader Solution Architect community. Share customer feedback to internal product management and engineering teams to help drive the future of AWS
· Thought Leadership – Craft & develop compelling audience-specific messages and tools (product videos, customer success stories, demos, whitepapers, presentations, how to guides etc.) Present AWS services and technologies through forums such as AWS Blogs, Whitepapers, Reference architectures and Public-Speaking events such as AWS Summit and User-Group events. Capture and share best practices and insights internally and with partners and customers.
· Collaborate with AWS business development, professional services, training and support teams to help partners and customers learn and effectively use AWS services.
· Serve as a key member of the business development and account management team helping to ensure customer success on the AWS platform. Act as a technical liaison between customers, service engineering teams and support. Provide updates on customer progress and ensure plan execution by partners.

Desired profile

BASIC QUALIFICATIONS

Basic qualifications
· Deep experience in design/implementation/consulting experience of Machine Learning/AI/Deep Learning solutions
· Strong understanding and experience in the field of AI and related technologies, including deep learning and overall machine learning concepts. Deep experience developing AI models in real-world environments.
· Strong understanding of machine learning algorithms such as clustering and classification algorithms and especially neural networks (CNN, RNN etc.). Having worked with both structured and unstructured data in the past to gain effective insights.
· Significant experience creating, testing and deploying ML models. Significant experience developing AI solutions and passion for getting hands dirty with code e.g. familiar using DL Platforms/Tools like MXNet, Caffe, Caffe2, Theano, TensorFlow
· Solid grounding in statistics, probability theory, data modeling, machine learning algorithms and software development techniques and languages used to implement analytics solutions
· 5+ years professional experience in software development in languages related to ML like Python or R. Experience working with RESTful API and general service oriented architectures.
· Experience using and adapting to new technologies
· Deep experience with data modeling and analytics solution stacks
· Strong technical architecture, design, deployment and operational level knowledge of AI platforms, standards, protocols and devices
· Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organizations and virtual teams.
· Ability to influence and build mindshare convincingly with any audience, including the ability to create compelling demonstration of AI solutions. Confident and experienced in public speaking to large audiences.