ZT Systems

AI/ML Engineer

ZT Systems • $105K — $154K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field
  • 2–5+ years of professional experience in Machine Learning, AI, Software Engineering, or related fields
  • Strong programming skills in Python including FastAPI, async, and production-grade code
  • Good understanding of Machine Learning fundamentals
  • Familiarity with ML frameworks such as PyTorch, TensorFlow, or scikit-learn
  • Experience working with Linux environments
  • Basic experience with Docker and containerized applications

Responsibilities

  • Collaborate with software engineers and data scientists to develop scalable ML solutions
  • Automate training and deployment workflows for AI applications
  • Support the production AI infrastructure to ensure optimal performance
  • Build and deploy AI applications in a cloud-native environment
  • Implement and maintain containerization processes using Docker and Kubernetes

Benefits

  • Bonus opportunities
  • Paid time off
  • 401k program
  • Tuition reimbursement
  • Wellbeing resources
  • Diverse and inclusive workplace culture
Full Job Description

About The Role

ZT Systems, a wholly owned subsidiary of Sanmina,, is seeking AI/ML Engineer to help build, deploy, and operate AI applications. You will work closely with software engineers, data scientists, and platform engineers to develop scalable ML solutions, automate training and deployment workflows, and support production AI infrastructure. This role is ideal for someone with a strong software engineering foundation who has some knowledge of Machine Learning/AI fundamentals and on-prem cloud-native infrastructure.

Minimum Requirements

●     Bachelor's degree in Computer Science, Engineering, Data Science, or a related field

●     2–5+ years of professional experience in Machine Learning, AI, Software Engineering, or related fields

●     Strong programming skills in Python including FastAPI, async, and production-grade code

●     Good understanding of Machine Learning fundamentals

●     Familiarity with ML frameworks such as PyTorch, TensorFlow, or scikit-learn

●     Experience working with Linux environments

●     Basic experience with Docker and containerized applications

●     Working knowledge of Kubernetes fundamentals (deployments, services, pods, jobs)

●     Understanding of version control using Git

●     Strong problem-solving skills and ability to work in a collaborative engineering environment

Preferred Qualifications

●     Familiarity with LLMs and prompt engineering

●     Experience building RAG pipelines end-to-end (chunking, embedding, retrieval, reranking)

●     Experience with LLM serving frameworks such as vLLM or Ollama

●     Knowledge of vector databases such as Qdrant

●     Some frontend experience with TypeScript and Next.js

●     Experience with Orchestration tools such as Kubeflow, Kuberay etc


ZT Systems assesses market data to ensure a competitive compensation package is created for all our employees. The typical base salary for this position is expected to be between $105,000 and $154,000 per year.If hired, the final base salary will be determined on an individual basis taking into consideration experience, skills, knowledge, education and/or certifications.


Base salary is just one component of ZT Systems total rewards philosophy. We take pride in offering a wide range of benefits and perks that appeal to the variety of needs across our diverse employee base. Other rewards may include bonus, paid time off, 401k, tuition reimbursement, wellbeing resources, and more.

We are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this opportunity but your experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.




About ZT Systems

ZT Systems is a privately held original design manufacturer of data center servers, storage and embedded computing systems. ZT Systems is headquartered in the United States with additional facilities in Canada, China, and the Netherlands. The company designs and manufactures a wide range of computing systems, from workstations to high-performance computing clusters, and provides customized solutions for cloud computing, big data, and other applications. ZT Systems serves a variety of industries, including finance, healthcare, government, and education.
Learn more about ZT Systems
Size
1,000 employees
Industry
Founded
1994

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