MLOps Engineer

You will be part of a team deploying state-of-the-art deep-tech models into production. This position is ideal for a server-side developer with relevant experience in real-time streaming. As is the trend with ML, the tools, architectures, and solutions change quickly - you will be expected to learn and adapt.

About Viva
Viva Translate is seeking passionate individuals to join our team of ML researchers & engineers from top institutions such as Google and Stanford. We are creating a world where language is no longer a barrier to work and opportunity, and we are starting across Latin America.

Viva is building an AI tool that helps people read, write, and speak better across English, Spanish, and Portuguese. If you share our vision for a borderless future and are a motivated builder, idealist, and explorer, we would love to hear from you.

What you'll be doing

 
Design & build infrastructure to deploy machine learning models at scale
 
Develop & deploy scalable tools to handle machine learning training and inference
 
Identify & evaluate new technologies to improve performance, maintainability, and reliability
 
Apply software engineering practices to machine learning, including CI/CD, automation etc.
 
Improve dynamic scaling for GPU clusters
 
Run profilers on production code
 
Our ML tech stack includes Python/Django, AWS, CI/CD, Terraform, BERT, Spacey


Must-have skills 💪

 
2-5 years of experience building end-to-end systems as a Platform Engineer or MLOps Engineer
 
Strong software engineering skills in complex, multi-language systems
 
Experience working with cloud computing and database systems
 
Experience building custom integrations between cloud-based systems using APIs
 
Experience developing and maintaining ML systems built with open-source tools
 
Familiarity with one or more data-oriented workflow orchestration frameworks (KubeFlow, Argo, etc.)
 
Exposure to deep learning approaches and modeling frameworks (e.g., PyTorch)
 
2+ years of experience building production scale software
 
Bachelor’s degree in Computer Science or related field


Nice to haves 🍒

 
Hands on experience with real-time audio streaming on large scale deployments
 
Experience with AWS Lambdas
 
Masters degree and/or equivalent professional experience
 
Fluent in Spanish and/or Portuguese


Our values 💛

 
Continuous growth - we take pride in setting new standards and taking ownership in our work
 
Data-driven - Decisions made together based on data and logic
 
Open integrity - we promote a low ego environment that treasures transparency, empathy, and feedback
 
Play - we champion diversity and creativity, and want everyone not be afraid to fail & fail quickly


What we offer ✨

 
Fully remote team 🌎
 
3+ in-person retreats (past locations include Mexico, Colombia & Ecuador) annually
 
Join an early-stage startup (12 people & growing 🚀)
 
Home office stipend 
 
Health & fitness benefits
 
Learning stipend - we are here to support your personal & professional development journey