Technical specialist
">
we are seeking a skilled technical specialist with expertise in python, kubernetes, data analytics, and machine learning. As a member of our team, you will be responsible for designing, building, and maintaining end-to-end data analytics and mlops solutions using kubeflow, mlflow, dvc, feast, etl, data governance, and visualization tools.
key responsibilities:
* develop understanding of the entire linux stack, from kernel, networking, and storage, to the application layer.
* design, build, and maintain solutions deployed on public and private clouds and local workstations.
* master distributed systems concepts such as observability, identity, tracing.
* work with both kubernetes and machine-oriented open-source applications.
* collaborate proactively with a distributed team of engineers, designers, and product managers.
requirements:
* professional or academic software delivery using python.
* exceptional academic track record from both high school and university.
* undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path.
* confidence to respectfully speak up, exchange feedback, and share ideas without hesitation.
preferred skills:
* proven track record of building highly automated machine learning solutions, data pipelines, or orchestrating workflows for the cloud.
* hands-on experience with machine learning libraries, or tools.
* experience with container technologies (docker, lxd, kubernetes, etc.).
* experience with public clouds (aws, azure, google cloud).
what we offer:
* distributed work environment with regular team sprints.
* personal learning and development budget.
* annual compensation review.