AI/ML Engineer
- Compensation
- Not disclosed
- Location
- Secaucus, NJ
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 5+ years
- Category
- Ml / AI
- Posted
Skills
Nice to have
- ● 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
- 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 b
- 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
Full 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.