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Intern Kubernetes Jobs in California (NOW HIRING)

As an AI/ML Software Engineer Intern, you will define and implement the AI/ML infrastructure ... Interested in Kubernetes and cloud native technologies ABOUT NIRMATA Nirmata empowers organizations ...

As an AI/ML Software Engineer Intern, you will define and implement the AI/ML infrastructure ... Interested in Kubernetes and cloud native technologies ABOUT NIRMATA Nirmata empowers organizations ...

As an intern, you'll work alongside experienced engineers and learn how to build and improve these ... Learn to use cloud technologies and tools like Kubernetes and databases.Gain experience in ...

As a Visa intern, you'll build valuable connections across the organization, sharpen your ... Self-serve deployment of Kafka clusters using Docker and Kubernetes with auto scale up capability

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Intern Kubernetes information

What are the most commonly searched types of Kubernetes jobs in California?

The most popular types of Kubernetes jobs in California are:

What cities in California are hiring for Intern Kubernetes jobs?

Cities in California with the most Intern Kubernetes job openings:

AI Software Engineer Intern

San Jose, CA • On-site

Nirmata
Software Development • 11 - 50 employees

Internship

Re-posted 5 days ago


Job description

About the Role:

As an AI/ML Software Engineer Intern, you will define and implement the AI/ML infrastructure powering Nirmata's Policy Management platform. You will also contribute to the development of AI-powered features. This is a unique opportunity to contribute to a rapidly growing domain within a fast-moving startup.

What We Offer:

  • Hands-on experience with real-world software development projects
  • Mentorship from experienced software engineers.
  • An inclusive and collaborative work environment.
  • Opportunity to be part of an early stage startup.
  • Opportunities to contribute to a cutting-edge SaaS platform, featuring microservices in Java and Go, orchestrated with Kubernetes, utilizing MongoDB for no-SQL data storage, and leveraging Kafka for event processing

Qualifications:

  • Education: Bachelor's or Master's degree student in Computer Science or a related field.
  • Focus on machine learning and data science.
  • AI Agents
  • MCP Servers
  • Familiarity with Large Language Models (LLMs) and Generative AI (GenAI) technologies including Retrieval-Augmented Generation (RAG) and model tuning.
  • Familiarity with SLMs: model design and fine-tuning
  • Interested in Kubernetes and cloud native technologies