4 дня назад
AI/ML Engineer (Python/Kubernetes)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI/ML Engineer (Python/Kubernetes): Building and operating scalable AI applications, ML training and deployment pipelines, and production infrastructure with an accent on Python services, container orchestration, and retrieval-augmented generation. Focus on designing RAG pipelines, serving LLMs with vLLM and Ollama, integrating vector databases, and automating complex workflows with Kubeflow and Kuberay.
Location: Not specified. Certain positions may require U.S. citizenship or nationality, lawful permanent residence, refugee or asylee status, or eligibility for an export-control license or exception.
Company
, a Sanmina Company, designs, builds, and delivers technology infrastructure and AI solutions for enterprise customers.
What you will do
- Develop, deploy, and operate scalable machine learning solutions and production AI infrastructure.
- Automate ML training and deployment workflows to improve operational efficiency.
- Design production-grade Python services using FastAPI, asynchronous programming, and containerized architectures.
- Deploy and manage applications on Linux with Docker and Kubernetes.
- Build end-to-end RAG pipelines covering chunking, embeddings, retrieval, and reranking.
- Implement LLM serving with vLLM and Ollama, integrate Qdrant, and orchestrate workflows with Kubeflow and Kuberay.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.
- At least 2 years of professional experience in machine learning, AI, or software engineering.
- Strong Python skills, including FastAPI and asynchronous programming, plus experience with PyTorch, TensorFlow, or scikit-learn.
- Hands-on experience with Linux, Docker, Kubernetes deployments, pods, jobs, and Git.
- Strong problem-solving skills in a collaborative engineering environment.
- Some positions may require U.S. citizenship, U.S. lawful permanent residence, refugee or asylee status, or eligibility for an export-control license or exception.
Nice to have
- Familiarity with LLMs and prompt engineering.
- Experience with Next.js and TypeScript frontend tools.
- Experience with workflow orchestration engines.
Culture & Benefits
- Collaborative, fast-paced engineering environment focused on continuous improvement.
- Competitive base salary and performance-based annual bonus eligibility.
- 401(k), tuition reimbursement, and comprehensive medical, dental, and vision coverage.
- Paid time off, company-paid holidays, parental leave, and family care support.
- Training programs, on-the-job learning, wellness resources, and company-paid life and disability insurance.
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