Senior Data Scientist

MOL Accessportal Sdn Bhd; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

MOL Accessportal Sdn Bhd is seeking a Senior Data Scientist in Singapore to design and develop advanced AI-driven solutions for gaming. The role involves implementing reinforcement learning models, collaborating with game developers, and developing tools to enhance player experiences.

The ideal candidate has a Master’s or PhD in a relevant field and experience in AI research or applied machine learning, with a strong passion for gaming.

Qualifications

• Strong background in reinforcement learning and AI-driven solutions.
• Proficiency in Python with frameworks like PyTorch or TensorFlow.
• Experience in game engines like Unity and Unreal Engine is a plus.
• Strong problem-solving capabilities and ability to translate research into practical solutions.

Responsibilities

• Research, design, and implement rewards-based agents for gaming applications.
• Develop AI tools for immersive gaming experiences.
• Collaborate with developers and designers for AI integration.
• Stay updated on advancements in AI for gaming.

Skills

Reinforcement Learning

Generative AI agents

Retrieval-Augmented Generation

Python

PyTorch

TensorFlow

Problem-solving skills

Communication skills

Passion for gaming

Education

Master’s or PhD in Computer Science, AI, or Machine Learning

Tools

Unity

Unreal Engine

AWS

GCP

Azure

Job description

This Senior Data Scientist role focuses on designing and developing advanced AI-driven solutions for game developers and gamers.

Job Responsibilities

• Research, design, and implement rewards-based agents using Reinforcement Learning for testing gaming applications.
• Develop and optimize agents and advanced Retrieval-Augmented Generation 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 solutions remain state‑of‑the‑art.
• Evaluate model performance and drift through experimentation and benchmarking, improving efficiency and scalability.
• Assist in deployment, monitoring, and maintenance of AI models in production environments.
• Document findings, methodologies, and research for internal knowledge sharing and external publications, where applicable.

Required Skills and Experience

• Strong background in Reinforcement Learning, Generative AI agents, and 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 large language models, transformers, diffusion models, and self‑learning AI systems.
• Experience in training and fine‑tuning large‑scale AI models.
• Experience with cloud‑based AI deployment on 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 and Experience

Master’s or PhD in a relevant field (Computer Science, AI, Machine Learning, etc.) and at least 1 year 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.

Equal Opportunity Employer

At Razer, we believe diverse teams build better ideas and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected by the laws of the countries we operate in. We also provide reasonable accommodations where needed — including for disability or religious practices — so every team member can perform and contribute at their best.