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Kinaxis
Kinaxis
1 001 – 5 000 Xodimlar
H1B vizasi homiysiIshlab chiqarishKonsaltingSog‘liqni saqlash
Kinaxis tashkilotlarga murakkab operatsiyalarni rejalashtirish, boshqarish va ularga javob berishda yordam beradigan ta’minot zanjirini muvofiqlashtirish dasturiy ta’minotini ishlab chiqadi. Uning Maestro platformasi sun’iy intellekt bilan boyitilgan rejalashtirishni, ilg‘or tahlil vositalarini va ma’lumotlarni real vaqt rejimida ko‘rish imkoniyatini birlashtirib, ta’minot zanjiri bo‘ylab yanada asosli qarorlar qabul qilishni qo‘llab-quvvatlaydi. Kompaniya yechimlari ishlab chiqarish, sog‘liqni saqlash va konsalting kabi sohalardagi tashkilotlar uchun mo‘ljallangan bo‘lib, samaradorlikni oshirish, talabni oldindan bashorat qilish va uzilishlar yuz berganda tezda moslashishga e’tibor qaratadi.
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Kompaniyadagi ish o‘rinlari

AI and Machine Learning Research Intern – Canada (Hybrid)

Research time-series forecasting and generative AI methods for supply chain planning at Kinaxis. Develop practical machine-learning capabilities through experiments, prototypes, and collaboration with research and product teams.

CAKanadaGibridTo‘liq stavkaBoshlang‘ich darajaTalab Qilinadigan Til: inglizchaMashinaviy o‘qitish muhandisiSunʼiy intellekt tadqiqot olimi
Python

Tavsif

  • Conduct applied machine-learning research in time-series forecasting and generative AI for supply chain planning
  • Review research literature, identify promising approaches, and define testable questions and hypotheses
  • Design and execute reproducible experiments with real-world and benchmark datasets
  • Build and assess models against strong baselines using quantitative and qualitative measures
  • Interpret findings, limitations, robustness, and practical trade-offs
  • Present research outcomes to both technical and non-technical audiences
  • Create research prototypes and work with researchers, data scientists, engineers, and domain experts to evaluate product potential
  • Contribute to product concepts, technical reports, demonstrations, publications, and patent applications when appropriate
  • Work with a dedicated mentor throughout the internship

Talablar

  • Currently pursuing or recently completed a master's or PhD in computer science, machine learning, statistics, applied mathematics, operations research, or a related discipline
  • Eligible for an internship through current full-time enrollment or graduation within 12 months of the placement end date
  • Strong grounding in machine learning, statistics, and experimental design
  • Practical AI/ML research experience from graduate work, publications, a thesis, research internships, or substantial projects
  • Proficiency in Python and experience with contemporary machine-learning frameworks
  • Able to turn open-ended problems into testable hypotheses, rigorous experiments, and well-supported conclusions
  • Experience with time-series forecasting, probabilistic forecasting, or time-series foundation models such as PFNs is an advantage
  • Familiarity with generative AI, including large language models, retrieval-augmented generation, and agents, is an advantage
  • Knowledge of statistical inference, uncertainty quantification, or causal inference is an advantage
  • Experience evaluating foundation models through fine-tuning, adaptation, benchmarking, or error analysis is an advantage
  • Research communication experience demonstrated through publications, preprints, or technical reports is an advantage
  • Must be based in Canada's Eastern time zone; interns in Ottawa or Toronto must work from the office at least three days per week

Imtiyozlar

  • Flexible vacation policy and company-wide Kinaxis Days off
  • Flexible working arrangements
  • Programs supporting physical and mental well-being
  • Regular virtual fitness classes
  • Mentorship, training, and career-development opportunities
  • Recognition programs and referral rewards
  • Hackathons

O‘xshash ish o‘rinlari

Peraton

Senior Hybrid Connectivity Engineer

Peraton
H1B vizasi homiysiKonsaltingLogistikaSog‘liqni saqlash
USAmerika Qo‘shma ShtatlariVAVirjiniya
112 000 $ – 179 000 $ / yil
OfisdaTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaMuhandis
AWSBulutDNSKiberxavfsizlikKubernetesTarmoqlararo ekranlarTCP/IPTypeScript

Designs and troubleshoots connectivity across AWS classified cloud, Kubernetes, and on-premises networks. Supports Peraton’s national security and government technology missions.

Ochish