Nirmata
Posted 159 days agoVerified live 1d ago
AI Software Engineer Intern
Brief overview
San Jose, HybridHybrid
UndergradOr in progress
3 H-1B approvalsDept. of Labor
1 green cardsCertified filings
Machine learningData scienceAI AgentsMCP ServersLarge Language Models (LLMs)Generative AI (GenAI)Retrieval-Augmented Generation (RAG)Model tuningSLMs: model design and fine-tuningKubernetesCloud native technologies
About the company
Nirmatanirmata.com
Nirmata provides SaaS for unified governance, security, and compliance for cloud-native applications and infrastructure.
Visa sponsorship history
3 years sponsoring, last filed FY2025
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.3H-1B approved
100%approval rate
1PERM certified
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20242
20251
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20251
Sponsored employees from
China
Job description
Summary
Nirmata is a company focused on accelerating the adoption of cloud native technologies for enterprises. They are seeking an AI/ML Software Engineer Intern to define and implement the AI/ML infrastructure for their Policy Management platform and contribute to the development of AI-powered features.
Responsibilities
- Define and implement the AI/ML infrastructure powering Nirmata's Policy Management platform
- Contribute to the development of AI-powered features
Skills
- 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
Qualifications
Must Haves
- 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
Benefits
- 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
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