Offer summary
Qualifications:
Minimum 4 years in AI, DevOps, or ML roles, Google Cloud or AWS MLOps certs.Key responsabilities:
- Deploy and monitor ML models
- Optimize CI/CD for model deployment
- Manage model versions and APIs
At Beyond, we partner with people who want to design a better future.
We are a design and technology company.
We design and build products, platforms, and programs for the world's most ambitious brands; including Google, Snapchat, Facebook, Netflix, and Diageo.
We are a diverse group of designers, strategists, engineers, and wordsmiths who make things that people love to use.
Role Overview
As a Senior MLOps Engineer, you will focus on the following areas:
As a Senior MLOps Engineer, we’d look for you to be able to bring:
As an accomplished AI professional, you would have had significant exposure to the following technologies:
Having been named among Sunday Times Best 100 Companies, we believe culture plays a large role in what we offer as an organization. We actively promote diversity in all its forms across our Studios and we proudly, passionately, and proactively strive to create a culture of inclusivity and openness for all our employees.
Beyond is committed to welcoming everyone, regardless of gender identity, orientation, or expression. Our mission is to remove exclusivity and barriers and encourage new thinking and perceptions, in a space of belonging. It is not about race, gender, or age, it is about people. And without our people being their most creative and innovative selves, we are nothing.
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