ML Ops Engineer (hybrid or remote)

Our Data Science team are a highly motivated and curious group. They're spearheading Achievers' efforts to build products powered by AI and enjoy solving all the problems that come with building at scale. We don't operate under a rigid structure, as a member of this team, you'll have the opportunity to shape the work and the craft. We're in search of a skilled and driven ML Ops engineer who can support the full operational lifecycle of both traditional machine learning systems and emerging generative AI driven applications. This role spans infrastructure, automation, quality and reliability engineering, with an emphasis on enabling scalable training, evaluation, deployment, and monitoring for a wide range of ML and GenAI workloads, including managing model upgrades, framework versions, regression testing, maintenance tasks and maintaining performance across systems and solutions.

Why you'll love this role:

Lead high-impact initiatives that shape how millions of ...