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13 hours ago
We are seeking a highly skilled software engineer to join our team in data, AI/ML & analytics solutions. As a key member of our team, you will collaborate on an end-to-end data analytics and mlops solution composed of popular, open-source, machine learning tools such as Kubeflow, MLFlow, DVC, and Feast.
This role requires technical expertise in the entire Linux stack, from kernel, networking, and storage, to the application layer. You will design, build, and maintain solutions that will be deployed on public and private clouds and local workstations.
- Develop a strong understanding of 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.
Key skills and qualifications include:
- Master's degree in computer science or related field.
- Proficiency in Python programming language.
- Experience with container technologies and public clouds.
- Strong academic track record.
We value a passion for technology and collaboration. If you have experience with machine learning libraries, it's a plus. We offer a flexible work environment, personal learning and development opportunities, annual performance review, recognition rewards, and more.
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