Cloud Architect for AI Deployments

6 dni temu

Warszawa, Mazovia, Polska N-iX Pełny etat

About Us

N-iX is a company that transforms complexity into a strategic advantage, offering maximum flexibility and observability for AI deployments.

We strive to build a world where AI is harnessed responsibly and ethically by both enterprise organizations and the wider open source community.

Our mission is to deliver industry-leading machine learning deployment and continue to make our mark in the MLOps space.

About the Role

You will be working on our next generation data-centric MLOps platform that allows users to scale to 1000s of models in production and build powerful data-driven ML inference pipelines using Kafka.

This is an exciting opportunity to work on a new project and have an impact on many technical aspects of the system as they are developed.

Responsibilities

  • Help design, build and extend MLOps platform, contributing to improved reliability, scalability and performance as well as next-generation features.
  • Engage in technical discussions about the architecture of the system and the different tradeoffs made when picking particular solutions.
  • Help manage internal development, demo and test infrastructure, improving productivity for everyone in the team.
  • Respond to customer questions and queries as they arise, developing and integrating requested features within the existing codebase.
  • Reduce technical debt by maintaining the codebase at a high quality level: periodic 3rd party dependencies upgrades, automated tests and working CI/CD pipelines.

Requirements

  • A degree or higher level academic background in a scientific or engineering subject or relevant equivalent experience.
  • Experience/involvement in architecting, implementing and debugging complex systems, from initial design to completion.
  • Understanding of distributed systems and the challenges associated with microservices architectures.
  • Experience in profiling, identifying and fixing system bottlenecks at the component and system level.
  • At least 4+ years of experience in industry with a track record as backend engineer.
  • Strong working knowledge of Golang.
  • Experience in building applications using Kafka.
  • Experience with Kubernetes and the ecosystem of Cloud Native tools.

Nice to Have

  • Familiarity with Google Cloud Platform / AWS / Azure.
  • Familiarity with Operator Pattern with Kubebuilder or Operator SDK.
  • Contributions to open source projects.
  • A broad understanding of data science and machine learning or the willingness to learn about it.
  • Working knowledge of Python.

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