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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 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

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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AI Software Engineer Intern

Nirmata

San Jose, CA • On-site

Internship

Re-posted 11 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