As a Specialist ML Solutions Architect at AWS, you’ll build technical relationships with customers of all sizes and operate as their trusted advisor, ensuring they get the most out of the cloud at every stage of their journey in adopting Machine Learning across their organisation.
You’ll manage the overall technical relationship between AWS and our customers, making recommendations on security, cost, performance, reliability and operational efficiency to accelerate their challenging Machine Learning projects.
Internally, you will be the voice of the customer, sharing their needs and wants to inform the roadmap of AWS AI/ML features.
Key job responsibilities
In this role, your creativity will link technology to tangible solutions, with the opportunity to define cloud-native Machine Learning reference architectures for a variety of use cases.
You will participate in the creation and sharing of best practices, technical content and new reference architectures (e.g. white papers, code samples, blog posts) and evangelize and educate about running Machine Learning workloads on AWS technology (e.g. through workshops, user groups, meetups, public speaking, online videos or conferences).
If you can educate AWS customers about the art of the possible, while challenging the impossible, come build the future with us.
This role is within the EMEA region and you would be working with strategic public sector customers.
We are open to hiring candidates to work out of one of the following locations:
London, GBR
BASIC QUALIFICATIONS
- Bachelor's degree in computer science, engineering, mathematics or equivalent, or experience in a professional field or military
- Experience in IT development or implementation/consulting in the software or Internet industries
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- ML Engineering or Data Science and In-depth working knowledge and experience of the Artificial Intelligence / Machine Learning technical domain.
PREFERRED QUALIFICATIONS
- Knowledge of AWS services, market segments, customer base and industry verticals
- Knowledge of software development tools and methodologies
- Experience designing, building, refactoring or operating Machine Learning solutions - either on premises or in the Cloud
