Gramian Consulting
Gramian Consulting
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.

Staff Research Engineer, AI and Machine Learning — Remote in Vietnam

Lead research on frontier AI systems for Gramian Consulting, an IT professional services and engineering talent consultancy. Build experiments, prototypes, evaluations, and scalable machine learning innovations.

Tavsif

  • Examine the capabilities, limitations, and training techniques of frontier AI systems.
  • Define research questions that guide AI products, platforms, and technical strategy.
  • Investigate synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarking, and evaluation methods.
  • Track advances in machine learning and identify opportunities for meaningful technical contributions.
  • Create 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 reliable practices for data quality, reproducibility, experimental design, and evaluation.
  • Advance research hypotheses into validated technical insights through iterative experimentation.
  • Partner with Research, Engineering, Product, and Operations teams to apply findings in practice.
  • Present technical discoveries to specialist and cross-functional audiences.
  • Support technical reports, publications, open-source initiatives, workshops, or conferences when appropriate.
  • Mentor engineers and researchers while contributing to technical reviews and 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.
  • Solid machine learning fundamentals and practical experience designing experiments, training and evaluating models, or building AI systems.
  • Research experience in 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 with the ability to implement, test, and rapidly iterate in research settings.
  • Experience using contemporary AI and machine learning frameworks, tools, and research workflows.
  • Strong 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.

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