scope:
Data Engineering on the ML/Infra team
More focused on ML to put their ML models into production environments
they may train their model multiple times, put to production environments,
have daily training models, push to production environments
supporting them to build this end to end pipeline to push ML models to production environments
for ML engineers, they already have the model being trained
they want a platform to easily pull up their model, which version of the model they want to put
which production environment they want to push this model to
built this kind of interface, allow ML engineer to view these models, have the config interface, want to push this model A then push to a certain prod environments
have a database table, show this data to users
one users select to push models to environments, push model to cluster, start to serve data
tech stack
writing these python is most her day
not writing SQL very often, sometimes does use SQL query to debug
more of a platform / backend engineer
actively looking for something new?
her team is more like an infra, building infra platform for internal ML engineers, thinking of her next goal
she wants to be closer to product / external users, learn more about user behaviors on products
wants to be closer to product engineering than Infra
looking for?
wants to make an impact, have an opportunity to take part of end to end, building process, working in a bigger company
have less opportunity to do, helping building a small company, smaller sized company will have more opportunity to do so
location:
San Francisco
ok with in office
timeline
actively interviewing
no late stage, in the beginning stage
RubikCubes
commented
7 months ago
https://www.linkedin.com/in/hsinghsw/
scope: Data Engineering on the ML/Infra team More focused on ML to put their ML models into production environments they may train their model multiple times, put to production environments, have daily training models, push to production environments supporting them to build this end to end pipeline to push ML models to production environments
for ML engineers, they already have the model being trained they want a platform to easily pull up their model, which version of the model they want to put which production environment they want to push this model to built this kind of interface, allow ML engineer to view these models, have the config interface, want to push this model A then push to a certain prod environments
have a database table, show this data to users
one users select to push models to environments, push model to cluster, start to serve data
tech stack writing these python is most her day not writing SQL very often, sometimes does use SQL query to debug
more of a platform / backend engineer
actively looking for something new? her team is more like an infra, building infra platform for internal ML engineers, thinking of her next goal she wants to be closer to product / external users, learn more about user behaviors on products
wants to be closer to product engineering than Infra
looking for? wants to make an impact, have an opportunity to take part of end to end, building process, working in a bigger company have less opportunity to do, helping building a small company, smaller sized company will have more opportunity to do so
location: San Francisco ok with in office
timeline actively interviewing no late stage, in the beginning stage
work auth? none