AI/ML Engineer
ZT Systems1 day ago
Secaucus, NJ, USAMid Level / Senior
Base Salary
$105k - $154k/yr
Responsibilities
- Build, deploy, and operate AI applications and scalable machine learning solutions.
- Automate machine learning training and deployment workflows.
- Support production AI infrastructure using cloud-native and containerized technologies.
- Collaborate with software engineers, data scientists, and platform engineers.
- Develop production-grade Python services and contribute to AI/ML application delivery.
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 Python programming skills, including FastAPI, asynchronous programming, and production-grade coding.
- Understanding of machine learning fundamentals and familiarity with PyTorch, TensorFlow, or scikit-learn.
- Experience with Linux environments, Docker, containerized applications, Kubernetes fundamentals, and Git.
- Preferred qualifications include LLM and prompt engineering experience, end-to-end RAG pipeline development, vLLM or Ollama, Qdrant, TypeScript, Next.js, Kubeflow, and KubeRay.
Benefits
- Base salary of $105,000–$154,000 per year, performance-based annual bonus eligibility, and a 401(k) retirement savings plan.
- Tuition reimbursement, structured training, on-the-job learning, and professional development opportunities.
- Medical, dental, and vision coverage; mental health and wellness resources; and company-paid life and disability insurance.
- Paid time off, company-paid holidays, parental leave, and family care support programs.
- Matching gifts and volunteer programs; benefits and eligibility vary by work location.
Tech Stack
Categories
About ZT Systems
ZT Systems designs, builds, and deploys custom hyperscale server, storage, and accelerator platforms for major cloud and telecommunications providers. The privately held company handles end-to-end engineering, high-volume manufacturing, and global service and support to meet large fleet and data center requirements. Headquartered in Secaucus, New Jersey, it focuses on cloud infrastructure management and delivering tailored hardware solutions at scale for production environments worldwide.