AI/ML Engineer: Build Production AI Pipelines

ZT Systems; Secaucus (NJ); Hybrid; USD 105,000 - 154,000; Full time

Benefits offered by this job

401(k) retirement savings plan

Tuition reimbursement

Health, dental, vision coverage

Mental health resources

Job summary

ZT Systems, a Sanmina Company, seeks an AI/ML Engineer in Secaucus, NJ to help build, deploy, and operate AI applications. You will work with software engineers, data scientists, and platform engineers to develop scalable ML solutions and automate training and deployment workflows in an on-prem environment.

Ideal candidates have 2–5+ years in ML/AI or software engineering, strong Python skills (FastAPI, async), and familiarity with ML frameworks such as PyTorch/TF.

Qualifications

• Bachelor's degree in CS/Engineering/Data Science or related field.
• 2–5+ years of professional experience in ML/AI, software engineering, or related fields.
• Strong Python skills including FastAPI, async, and production-grade code.
• Solid understanding of ML fundamentals and common frameworks.

Responsibilities

• Build, deploy, and operate AI applications with production-grade workflows.
• Collaborate with software engineers, data scientists, and platform engineers.
• Develop scalable ML solutions and automate training/deployment pipelines.

Skills

Python

FastAPI

Async

Production-grade code

ML fundamentals

PyTorch

TensorFlow

scikit-learn

Linux

Docker

Kubernetes

Git

LLMs

RAG pipelines

TypeScript

Next.js

Kubeflow

Kuberay

Vector databases

Education

Bachelor's degree in Computer Science, Engineering, Data Science

Tools

Kubeflow

Kuberay

Qdrant

Job description

ZT Systems, a Sanmina Company, seeks an AI/ML Engineer in Secaucus, NJ to help build, deploy, and operate AI applications. You will work with software engineers, data scientists, and platform engineers to develop scalable ML solutions and automate training and deployment workflows in an on-prem environment.

Ideal candidates have 2–5+ years in ML/AI or software engineering, strong Python skills (FastAPI, async), and familiarity with ML frameworks such as PyTorch/TF.