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Senior Data Scientist (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Singapore
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Data Scientist (AI): Designing and developing AI-driven solutions for game developers and gamers with an accent on reinforcement learning, generative AI agents, and retrieval-augmented generation. Focus on building intelligent gaming tools, training and fine-tuning models, integrating AI into game development workflows, and evaluating model performance in production.

Location: Singapore office; occasional travel of up to one trip per year for conferences, research collaborations, or business meetings.

Company

Razer develops gamer-focused hardware, software, and gaming experiences for a global market.

What you will do

  • Research, design, and implement reward-based reinforcement learning agents for testing gaming applications.
  • Develop agents and retrieval-augmented generation solutions for dynamic game content, adaptive player interactions, and gaming experiences.
  • Collaborate with game developers, designers, AI engineers, and software engineers to integrate AI models into development workflows.
  • Build and optimize AI-powered gaming tools and fine-tune models for practical applications.
  • Analyze and preprocess game data, evaluate model performance and drift, and improve efficiency and scalability.
  • Support the deployment, monitoring, maintenance, documentation, and research publication of AI models.

Requirements

  • Strong background in reinforcement learning, generative AI agents, and retrieval-augmented generation.
  • Proficiency in Python and experience with PyTorch or TensorFlow for deep learning.
  • Familiarity with large language models, transformers, diffusion models, self-learning AI systems, and large-scale model training and fine-tuning.
  • Experience with cloud-based AI deployment using AWS, GCP, or Azure.
  • Master’s or PhD in computer science, AI, machine learning, or a related field, plus at least one year of AI research or applied machine learning experience.
  • Strong communication and problem-solving skills, with an understanding of gaming mechanics, AI-driven storytelling, and player engagement.

Nice to have

  • Experience with Unity or Unreal Engine.
  • Background in gaming or interactive media.

Culture & Benefits

  • Work as part of a global team spanning five continents.
  • Collaborate across research, engineering, design, and game development functions.
  • Attend occasional conferences, research collaborations, or business meetings, with travel of up to one trip per year.

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