About the job
- implement processes and framework for management of machine learning models at scale.
this role requires an observability mindset as applied to machine learning, and demonstrate value with a crawl, walk, run mindset.
- contribute and drive out ls&co.
dait community best practices for managing production machine learning models.
- you will drive observability into our production machine models.
- you will participate in our production support and service delivery forums and socialize how we measure success.
about you
- bachelor's degree: computer science or similar.
- excellent communication skills.
- hands-on experience developing complex systems.
you must have experience with soa designs, middleware solutions, big data ecosystem and distributed systems.
- experience working with data and analytic tools.
- super helpful to be hands-on coding experience in python and javascript
- strong experience with building soap and restful services.
- strong experience with relational and nosql database (mysql, mongodb and redis)
- understanding of real-time and batch data processing systems.
- cloud architect certification for aws or gcp.
- experience working with data scientists and understanding of data science models.
- familiarity with data-warehouse technologies like snowflake and redshift.
- experience building kinesis or kafka data streams for real-time data stream analysis.
- experience with ui/ux technologies like nodejs and react.
- experience with observability and visualization tools like new relic, grafana, tableau.
*location*:mexico, d.f., mexico
*full time/part time*:full time