Gramian Consulting
Gramian Consulting
Gramian Consulting — инженерия, деректер және жасанды интеллект салаларындағы мамандарға бағытталған, қашықтан жұмыс істеуді басымдыққа қоятын консалтингтік компания. Ол ұйымдарға мамандарды уақытша тарту, кадр іріктеу, арнайы командалар құру және мердігерлерді басқару арқылы техникалық мүмкіндіктерін кеңейтуге көмектеседі. Компания LLM модельдерін оқыту және дәлдеп баптау, AI агенттері мен көмекшілері, MLOps және AI инфрақұрылымы сияқты қызметтерді де ұсынады. Сонымен қатар мансапқа дайындық, сұхбатқа дайындалу және халықаралық нарыққа бейімделу бағыттарын қамтитын тәлімгерлік және білім беру бағдарламалары арқылы жеке тұлғалардың кәсіби дамуын қолдайды. Оның жұмысы клиенттерге техникалық командалар құруға және жасанды интеллектіні бизнес қажеттіліктеріне қолдануға көмектесу үшін практикалық инженерлік және кадр іріктеу тәжірибесін біріктіреді.

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.

Сипаттама

  • 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

Талаптар

  • 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

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