Fullstack Engineer, MLOps

March 22

GitLab

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Build software faster. The One DevOps Platform enables your entire org to collaborate around your code. We're hiring.

1001 - 5000

💰 Secondary Market on 2020-11

Description

• Play a key role in designing, implementing, and integrating product features • Solve technical backend machine learning problems of high scope and complexity • Test, deploy, maintain, and improve ML system solution features • Help define and improve internal standards for style, maintainability, and best practices for a high-scale web environment • Collaborate with other ML, Python, Ruby, Golang engineers to build GenAI Solutions

Requirements

• Significant experience in Golang • Some level of python is preferred • Some level of Vue.Js is preferred • Significant experience in lifecycle management of data science workloads • Deep technical understanding and usability of ML/AI technologies • Production experience with Terraform, Kubernetes, Docker, and preferably GCP or equivalent technologies • Experience with inference backend and post-production monitoring of large language models • High interest in defining experimentation and agent architecture for large-scale ML recommendation engines • Genuine passion for learning and solving challenges

Benefits

• All remote work environment • Excellent opportunity to work with cutting-edge ML/AI technologies • Opportunity to collaborate with a diverse team of engineers from different backgrounds • Ability to contribute to the growth and evolution of GitLab's ML efforts