2 дня назад
AI/ML Engineer
105 000 - 154 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI/ML Engineer (Python/Machine Learning): Building, deploying, and operating scalable AI applications and production ML infrastructure with an accent on training automation, cloud-native systems, and collaboration across engineering disciplines. Focus on developing RAG pipelines, serving large language models, and operating containerized workloads with Docker and Kubernetes.
Location: Secaucus, New Jersey, United States
Base salary: $105,000–$154,000 per year
Company
, a Sanmina company, designs, builds, and delivers technology infrastructure and AI solutions for enterprise customers.
What you will do
- Build, deploy, and operate AI applications and scalable machine learning solutions.
- Automate model training and deployment workflows.
- Support production AI infrastructure and cloud-native systems running on premises.
- Develop production-grade Python services and APIs using FastAPI and asynchronous programming.
- Collaborate with software engineers, data scientists, and platform engineers.
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 a related field.
- Strong Python programming skills, including FastAPI, asynchronous programming, and production-grade development.
- Understanding of machine learning fundamentals and familiarity with PyTorch, TensorFlow, or scikit-learn.
- Experience with Linux, Docker, containerized applications, Kubernetes fundamentals, and Git.
- Strong problem-solving skills and the ability to work in a collaborative engineering environment.
Nice to have
- Familiarity with large language models and prompt engineering.
- Experience building end-to-end RAG pipelines, including chunking, embedding, retrieval, and reranking.
- Experience with LLM serving frameworks such as vLLM or Ollama and vector databases such as Qdrant.
- Frontend experience with TypeScript and Next.js.
- Experience with orchestration tools such as Kubeflow or KubeRay.
Culture & Benefits
- Collaborative, inclusive workplace focused on practical innovation and continuous learning.
- Competitive base salary and eligibility for a performance-based annual bonus.
- 401(k), tuition reimbursement, paid time off, company-paid holidays, and parental leave.
- Medical, dental, and vision coverage, mental health resources, wellness support, and company-paid life and disability insurance.
- Structured training, on-the-job learning, matching gifts, and volunteer programs.
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