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Gramian Consulting
Gramian Consulting
KonsaltingLogistikaMarketing
Gramian Consulting muhandislik, ma’lumotlar va sun’iy intellekt sohalaridagi mutaxassislarga e’tibor qaratadigan, masofaviy ishlashni ustuvor deb biluvchi konsalting kompaniyasidir. U tashkilotlarga mutaxassislarni jalb qilish, ishga qabul qilish, maxsus jamoalar tuzish va pudratchilarni boshqarish orqali texnik salohiyatini kengaytirishga yordam beradi. Kompaniya, shuningdek, LLM modellarini o‘qitish va nozik sozlash, AI agentlari va yordamchilari, MLOps hamda AI infratuzilmasi kabi xizmatlarni taqdim etadi. Bundan tashqari, karyeraga tayyorgarlik, suhbatga tayyorlanish va xalqaro bozorga yo‘nalish olishni qamrab olgan mentorlik hamda ta’lim dasturlari orqali shaxslarning kasbiy rivojlanishini qo‘llab-quvvatlaydi. Uning faoliyati mijozlarga texnik jamoalar tuzish va sun’iy intellektni biznes ehtiyojlariga tatbiq etishda ko‘maklashish uchun amaliy muhandislik hamda ishga qabul qilish tajribasini birlashtiradi.
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Kompaniyadagi ish o‘rinlari

Staff Research Engineer, AI and Machine Learning (Remote Contract) | Gramian Consulting

Lead frontier AI research spanning model evaluation, experimentation, and prototype development. Gramian Consulting delivers IT professional services and engineering talent solutions.

BDBangladeshBRBraziliyaCOKolumbiyaEGMisrGHGanaUSAmerika Qo‘shma ShtatlariMasofaviyShartnomaYetakchiTalab Qilinadigan Til: inglizchaMashinaviy o‘qitish muhandisiSunʼiy intellekt tadqiqot olimi
Python

Tavsif

  • Examine the capabilities, limitations, and training approaches of frontier AI systems
  • Define research questions that shape AI products, platforms, and technical direction
  • Investigate synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation
  • Track machine learning advances and identify opportunities for meaningful technical contributions
  • Build research-grade datasets, experiments, prototypes, tools, and evaluation frameworks
  • Train, test, and assess models with current AI and machine learning technologies
  • Interpret experimental findings and draw evidence-based conclusions
  • Develop standards for data quality, reproducibility, experimental design, and evaluation
  • Advance research hypotheses into validated technical insights through iterative investigation
  • Partner with Research, Engineering, Product, and Operations teams to apply findings in practice
  • Present technical results to specialist and cross-functional audiences
  • Support technical reports, publications, open-source work, workshops, or conferences when relevant
  • Mentor engineers and researchers while participating in technical reviews and peer discussions

Talablar

  • A Ph.D. or master’s degree in artificial intelligence, machine learning, computer science, or a closely related technical discipline
  • At least 7 years of professional experience, including substantial research engineering work in machine learning or frontier AI systems
  • Deep machine learning fundamentals and practical experience designing experiments, training and evaluating models, or building AI systems
  • Research experience with synthetic or agentic data generation, reinforcement learning or post-training, model understanding, AI evaluation, benchmarks, or AI agents and tool-using systems
  • Advanced Python skills for rapid implementation, testing, and iteration in research settings
  • Experience using contemporary AI and machine learning frameworks, tools, and research practices
  • Sound scientific judgment regarding experimental rigor, data quality, reproducibility, and evidence-based decisions
  • Excellent technical communication skills and the ability to work independently across research and engineering teams

O‘xshash ish o‘rinlari

Trane Technologies

Senior Executive Assistant, Digital Leadership

Trane Technologies
B2BEnergetikaIshlab chiqarish
USAmerika Qo‘shma ShtatlariMNMinnesotaNCShimoliy Karolina
61 300 $ – 109 655 $ / yil
GibridTo‘liq stavkaSeniorYetakchiTalab Qilinadigan Til: inglizchaRahbar yordamchisi

Support Trane Technologies’ Digital leadership team by coordinating executive schedules, travel, meetings, communications, and procurement. The role covers leaders across the United States and requires on-site work in White Bear Lake, Minnesota, Monday through Thursday.

Ochish
GlobeLife

Remote Customer Retention Representative

GlobeLife
1 – 10 Xodimlar
FanSog‘liqni saqlashTa’lim
USAmerika Qo‘shma ShtatlariMasofaviyTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaMijozlar muvaffaqiyatiMijozlarni saqlab qolish bo‘yicha mutaxassis

Help Globe Life policyholders keep their coverage and restore lapsed life insurance policies in this remote customer retention role. Handle inbound and outbound calls, discuss coverage and payment options, document outcomes, and meet retention targets.

Ochish