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Giotto.ai
Giotto.ai
51 – 200 Xodimlar
Apparat ta’minotiKorxonaSun’iy intellekt
Giotto.ai korporativ foydalanish uchun suveren fikrlash texnologiyasini ishlab chiqadigan Shveytsariyaning sun’iy intellekt kompaniyasidir. Kompaniya taklifi bitta GPU’da ishlashga mo‘ljallangan, yuqori darajadagi fikrlash qobiliyatiga ega Giotto 1 modeli bilan yordamchi, hujjatlar va kod bilan ishlash vositalari, integratsiyalar, agentlar hamda monitoringni birlashtiradigan sun’iy intellekt operatsion tizimini jamlaydi. Tashkilotlar platformadan Giotto’ning Yevropa buluti orqali foydalanishi, uni xususiy GPU’larga joylashtirishi yoki Giotto’ga tayyor sertifikatlangan apparat qurilmalaridan foydalanishi mumkin. Kompaniya tartibga solinadigan va texnik jamoalarga ma’lumotlar joylashuvi, infratuzilma hamda xususiy sun’iy intellekt joylashtirmalari ustidan ko‘proq nazorat berishga e’tibor qaratadi.
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Kompaniyadagi ish o‘rinlari

Junior Machine Learning Engineer — Hybrid, Lausanne

Giotto.ai is hiring a junior machine learning engineer in Lausanne to develop and deploy Transformer-based AI systems. The role focuses on Python applications, data pipelines, and production-ready model services.

CHShveytsariyaGibridTo‘liq stavkaJuniorTalab Qilinadigan Til: inglizchaMashinaviy o‘qitish muhandisi
BulutDockerKubernetesLinuxPythonPyTorchRay

Tavsif

  • Build and maintain Python components for machine learning applications
  • Integrate, fine-tune, and assess Transformer-based models
  • Contribute to data-processing, training, and inference pipelines
  • Assist with deploying models as dependable applications and services
  • Monitor and optimize model performance, latency, and resource consumption
  • Create tests and support code quality, documentation, and reproducibility
  • Troubleshoot issues spanning models, software, and infrastructure
  • Collaborate with researchers to convert experimental code into maintainable systems
  • Develop an understanding of deploying AI workloads across cloud, private, and on-premises infrastructure

Talablar

  • Completed or nearly completed Master’s degree in computer science, artificial intelligence, machine learning, software engineering, or a related technical discipline
  • Advanced Python programming ability
  • Hands-on experience with PyTorch or another current machine learning framework
  • Working knowledge of large language models and Transformer architectures
  • Understanding of software engineering practices such as testing, version control, and maintainable code
  • Relevant experience from a thesis, internship, university project, open-source work, or personal project
  • Practical approach to problem-solving and willingness to work across the technology stack
  • Strong communication skills and a collaborative working style
  • Experience with Hugging Face, Docker, APIs, or Linux
  • Familiarity with vLLM, Ray, Kubernetes, or cloud GPU infrastructure
  • Experience deploying a machine learning model or application
  • Understanding of model inference, distributed computing, or performance optimization
  • Experience with CI/CD, experiment tracking, or data pipelines
  • Open-source contributions or other relevant technical projects

Imtiyozlar

  • Hybrid work arrangement
  • Regular collaboration from the Lausanne office
  • Hands-on exposure to model inference, data pipelines, APIs, GPU infrastructure, and production deployment
  • Collaboration with research and engineering teams
  • Practical opportunity to build, test, and deploy AI systems
  • Learning exposure to AI workloads across cloud, private, and on-premises infrastructure

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Chakana savdoElektron tijoratMarketpleys
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