AI Software Engineer for MLOps Platform Development
6 dni temu
About N-iX
N-iX is a cutting-edge technology company founded in 2014 with a mission to deliver powerful solutions that transform complexity into a strategic advantage.
We strive to build a world where AI is harnessed responsibly and ethically by both enterprise organizations and the wider open source community.
Machine learning will soon be at the core of every connected business, so we're seeking talented individuals to drive our mission forward and deliver industry-leading machine learning deployment and continue to make our mark in the MLOps space.
About the Role
As a Senior Golang Software Engineer, you will work 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.
You will contribute to improved reliability, scalability, and performance as well as next-generation features. You will engage in technical discussions about the architecture of the system and the different tradeoffs made when picking particular solutions.
Responsibilities:
- Design, Build, and Extend MLOps Platform: Help design, build, and extend MLOps platform contributing to improved reliability, scalability, and performance as well as next-generation features.
- Technical Discussions: Engage in technical discussions about the architecture of the system and the different tradeoffs made when picking particular solutions.
- Manage Infrastructure: Help manage internal development, demo, and test infrastructure improving productivity for everyone in the team.
- Customer Support: Respond to customer questions and queries as they arise, developing and integrating requested features within the existing codebase.
- Tech Debt Reduction: 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:
- Academic Background: A degree or higher level academic background in a scientific or engineering subject or relevant equivalent experience.
- Complex System Architecture: Experience/involvement in architecting, implementing, and debugging complex systems from initial design to completion.
- Distributed Systems: Understanding of distributed systems and the challenges associated with microservices architectures.
- System Bottlenecks: Experience in profiling, identifying, and fixing system bottlenecks at the component and system level.
- Golang Experience: At least 4+ years of experience in industry with a track record as backend (Golang) engineer.
- Kafka and Kubernetes: Strong working knowledge of Golang, experience in building applications using Kafka, and experience with Kubernetes and the ecosystem of Cloud Native tools.
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