Sr. Specialist Sa

1 settimana fa

Milano, Italia AWS EMEA SARL (Italy Branch) A tempo pieno

Background in any of the following: Cloud Architecture, DevOps, Software Development, Infrastructure Architecture, ML Engineering or Data Science
- In-depth working knowledge and experience of the Artificial Intelligence/Machine Learning technical domain.
- Technical Degree (Computer Science, Maths, Engineering or equivalent) and/or relevant tech experience.
- Fluent written and verbal communication skills in English
- A passion for technology and for learning.

Job summary 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. 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 customers.

The following qualifications are desired but not required:

- Experience designing, building, refactoring or operating Machine Learning solutions - either on premises or in the cloud
- Working knowledge of cloud native architectures
- Knowledge of a Python and/or scripting, Infrastructure as Code etc.
- In-depth working knowledge of DevOps, Serverless, Big Data and Analytics technologies.
- Experience working in a customer-facing role or a role which involved public speaking
- AWS certification (e.g. AWS Solutions Architect Associate or Professional) or other industry certification
- AWS Certified Machine Learning - Specialty

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