Paynhire

MLOps Engineer

Updated: May 12, 2024 02:10 PM GMT


TRUSTLY BRAZIL SOFTWARE

TRUSTLY BRAZIL SOFTWARE

São Paulo, State of São Paulo

About the team:

Our MLOps team aim to streamline the entire machine learning lifecycle, from data preparation and model training to model deployment and monitoring, and to ensure that our solutions are secure, scalable, and cost-effective. By doing so, we enable our internal customers to unlock the full potential of their data, and to drive innovation and growth through machine learning.What you will do:

Design, build, and optimize robust state-of-the-art ML infrastructure, ensuring its scalability and adaptability across a diverse range of applications and projects, all while adhering to the best coding practices.Automate the entire ML model lifecycle, from training to deployment and monitoring, leveraging advanced CI/CD/CT pipelines to guarantee continuous improvements.Manage and continuously improve CI/CD/CT pipelines tailored for ML, maintaining the highest standards for model testing, validation, and deployment.Establish monitoring and logging practices to ensure the ML models... More Detail


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