AI/ML Engineer
ZT Systems7 days ago
Secaucus, NJ, USAMid Level / Senior
Base Salary
$105k - $140k/yr
Responsibilities
- Build, deploy, and operate AI applications and scalable machine learning solutions.
- Automate model training and deployment workflows.
- Support production AI infrastructure and collaborate with software engineers, data scientists, and platform engineers.
- Develop production-grade Python services using FastAPI and asynchronous programming.
- Work with containerized applications and Kubernetes-based deployments.
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 code.
- Understanding of machine learning fundamentals and familiarity with PyTorch, TensorFlow, or scikit-learn.
- Experience with Linux environments, Docker, containerized applications, Kubernetes fundamentals, and Git.
- Strong problem-solving skills and ability to work collaboratively.
- Preferred: familiarity with LLMs and prompt engineering and experience building end-to-end RAG pipelines.
- Preferred: experience with vLLM or Ollama, Qdrant, TypeScript, Next.js, Kubeflow, or KubeRay.
Benefits
- Performance-based annual bonus eligibility and a 401(k) retirement savings plan.
- Tuition reimbursement, comprehensive 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.
- Structured training, on-the-job learning, matching gifts, and volunteer programs.
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.