MLOps Engineer

Website Inductiva Research Labs

Contributing to science using Machine Learning

You will be part of a team of Deep Learning researchers and engineers, tackling fundamental problems in science. Your main goal will be to help accelerate the speed at which we conduct research and innovation. You are expected to build and develop tools and infrastructure that should have a multiplicative impact on the productivity of the entire team. This will involve building and supporting experiment infra-structures such that our ML models can train faster as we increase our computational resources, as well as building all the tooling such that the research we produce is reproducible (save hyper-parameters and config files used, experimental logs, model checkpoints, etc.). You will also be responsible for setting up or building the tools that enable us to do better tracking and management of experiments, including leaderboards and visualizations frameworks.

(more details on the application link)


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