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Urgent! Data Scientist (Mid/Senior) Job Opening In Singapore, Singapore – Now Hiring Razer USA Ltd.
(Accelerated Hiring) Data Scientist (Mid/Senior) page is loaded
(Accelerated Hiring) Data Scientist (Mid/Senior) Apply locations Singapore time type Full time posted on Posted Today job requisition id JR Joining Razer will place you on a global mission to revolutionize the way the world games.
Razer is
a place to do great work , offering you the opportunity to make an impact globally while working across a global team located across 5 continents.
Razer is also
a great place to work,
providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.
Job Responsibilities :
Razer is hiring for Data Scientists and this role will focus on designing and developing advanced AI-driven solutions for game developers and gamers.
The ideal candidate will have strong expertise in Reinforcement Learning (RL), Generative AI agents, and Retrieval-Augmented Generation (RAG) to create intelligent gaming tools and experiences.
This role involves working closely with AI engineers, game developers, and software engineers to build cutting-edge AI capabilities that enhance game mechanics, player engagement, and content generation.
Essential Duties and Responsibilities
Research, design, and implement rewards-based agents using
Reinforcement Learning (RL)
for testing gaming applications.
Develop and optimize agents and advanced RAG-based solutions for dynamic game content creation, adaptive player interactions, and enhanced gaming experiences.
Collaborate with
game developers, designers, and software engineers
to integrate AI models into game development workflows.
Build and optimize
AI-powered gaming tools , enabling developers to create more immersive and dynamic player experiences.
Develop and fine-tune
models
to improve AI in gaming applications.
Analyze and preprocess game data, training AI models to adapt and improve in-game decision-making processes.
Stay updated on the latest advancements in
AI for gaming , ensuring our solutions remain state-of-the-art.
Evaluate
model performance and drift
through experimentation and benchmarking, improving efficiency and scalability.
Assist in the
deployment, monitoring, and maintenance
of AI models in production environments.
Document findings, methodologies, and research for internal knowledge sharing and external publications, where applicable.
Pre-Requisites :
Qualifications
Strong background in
Reinforcement Learning (RL), Generative AI agents, and RAG (Retrieval-Augmented Generation) .
Proficiency in
Python
and experience with
PyTorch or TensorFlow
for deep learning.
Experience with
game engines
such as
Unity and Unreal Engine
is a plus.
Familiarity with
LLMs, transformers, diffusion models, and self-learning AI systems .
Experience in
training and fine-tuning large-scale AI models .
Experience with
cloud-based AI deployment (AWS, GCP, or Azure) .
Strong problem-solving skills and ability to translate research into practical solutions.
Excellent verbal and written communication skills to collaborate with technical and non-technical teams.
Passion for gaming and an understanding of game mechanics, AI-driven storytelling, and player engagement strategies.
Education & Experience
Master’s or PhD in a relevant field (Computer Science, AI, Machine Learning, etc.).
1+ years of experience in AI research or applied machine learning, preferably in gaming or interactive media.
Travel Requirements
Role based in Singapore office, with occasional travel (up to
1 trip per year ) for conferences, research collaborations, or business meetings.
*Shortlisted candidates will be contacted for assessment in due course
Are you game?
#J-18808-Ljbffr
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Unlock Your Data Scientist Potential: Insight & Career Growth Guide
Real-time Data Scientist Jobs Trends in Singapore, Singapore (Graphical Representation)
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Great news! Razer USA Ltd. is currently hiring and seeking a Data Scientist (Mid/Senior) to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Razer USA Ltd. adheres to the cultural norms as outlined by Expertini.
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Key qualifications for Data Scientist (Mid/Senior) typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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