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Gramian Consulting
Gramian Consulting
KonsultavimasLogistikaRinkodara
„Gramian Consulting“ yra nuotoliniam darbui pirmiausia teikianti konsultacijų įmonė, daugiausia dėmesio skirianti inžinerijos, duomenų ir dirbtinio intelekto talentams. Ji padeda organizacijoms didinti techninius pajėgumus pasitelkiant talentų papildymą, darbuotojų paiešką, dedikuotas komandas ir rangovų valdymą, taip pat teikia tokias paslaugas kaip LLM modelių mokymas ir derinimas, DI agentai ir asistentai, MLOps bei DI infrastruktūra. Įmonė taip pat remia individualų karjeros vystymą per mentorystės ir švietimo programas, apimančias pasirengimą karjerai, pasiruošimą darbo pokalbiams ir tarptautinių rinkų pažinimą. Jos veikla apjungia praktinę inžinerijos ir darbuotojų paieškos patirtį, kad padėtų klientams suburti technines komandas ir pritaikyti DI verslo poreikiams.
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Darbai įmonėje

Staff Research Engineer, AI and Machine Learning — India Remote

Lead frontier AI research at Gramian Consulting by designing experiments, prototypes, and evaluation systems. This contract role focuses on advancing machine learning methods and translating research into practical technical outcomes.

IDIndonezijaINIndijaKEKenijaNGNigerijaPKPakistanasTRTurkijaNuotolinisSutartisVadovasPrivaloma Kalba: anglųDirbtinio intelekto tyrimų mokslininkasMašininio mokymosi inžinierius
Python

Aprašymas

  • Study the capabilities, limitations, and training approaches of frontier AI systems.
  • Define research questions that guide AI products, platforms, and technical direction.
  • Investigate synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation methods.
  • Track advances in machine learning and identify opportunities for substantive technical contributions.
  • Build research-quality datasets, experiments, prototypes, tools, and evaluation frameworks.
  • Train, test, and assess models with current AI and machine learning technologies.
  • Interpret experimental results and draw conclusions supported by evidence.
  • Implement disciplined practices for data quality, reproducibility, experimental design, and evaluation.
  • Refine research hypotheses into validated technical insights through iteration.
  • Partner with Research, Engineering, Product, and Operations teams to apply findings to real-world use cases.
  • Present technical results clearly 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 discussions.

Reikalavimai

  • 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.
  • Strong 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 agent and tool-use systems.
  • Advanced Python skills for rapidly implementing, testing, and refining research ideas.
  • Hands-on familiarity with contemporary AI and machine learning frameworks, tools, and research workflows.
  • 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.

Susiję darbai

Johnson & Johnson

Senior Techno-Vigilance Analyst – Johnson & Johnson, Hybrid in Mexico City

Johnson & Johnson
H1B vizos rėmėjasBiotechnologijaFarmacijos produktaiSveikatos priežiūra
MXMeksikaHibridinisVisas etatasVyresnysis specialistasPrivaloma Kalba: anglųPrivaloma Kalba: ispanųAnalitikas

Oversee drug and medical device safety monitoring at Johnson & Johnson, investigating signals and root causes. Improve safety processes and help manage product risks across development, clinical trials, and regulatory approval.

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