Senior Data Scientist

RAZER (ASIA-PACIFIC) PTE. LTD.; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

A leading gaming technology company located in Singapore is seeking a skilled Data Scientist to evaluate and integrate cutting-edge AI tools. The candidate will work closely with cross-functional teams to enhance the AI capabilities within the organization, requiring strong expertise in applied AI, Python, and API integration. Ideal candidates will have a background in Computer Science and a passion for gaming, promoting innovative user experiences through AI technologies.

Qualifications

• Minimum 2 years of hands-on experience in applied AI/ML or AI integration.
• Proven experience with LLM APIs and AI SDKs.
• Familiarity with cloud environments and MLOps workflows.

Responsibilities

• Build and maintain internal tooling to integrate external AI services.
• Develop and optimize AI/ML models to complement 3rd-party tools.
• Collaborate with teams to ensure scalable deployments.

Skills

Applied AI/ML

Python programming

Integration of AI APIs

Software engineering fundamentals

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

OpenAI

Hugging Face

AWS

GCP

Azure

Job description

Job Responsibilities :

This Data Scientist role sits within the AI Integration Pod, focused on evaluating, integrating, and scaling 3rd-party AI tools into Razer’s internal AI stack. You will play a critical role in building robust, scalable systems that bridge external AI solutions with our internal infrastructure to enable intelligent, real-time capabilities across gaming and platform experiences.

The ideal candidate is a technically strong generalist with a strong grasp of applied AI/ML, experience working with external AI APIs (e.g., GenAI, vision, speech) and skilled in implementing and adapting AI solutions into production-grade systems. You will collaborate closely with AI Software Engineers, Data Scientists, and DevOps engineers to extend Razer’s AI capabilities through reliable, high-performance integration work.

Responsibilities include:

• Build and maintain internal tooling, pipelines, and wrappers to integrate external AI services (LLMs, speech, vision, agents) into Razer's ecosystem
• Develop and optimize lightweight in-house AI/ML models to enhance and complement 3rd-party tools
• Evaluate and prototype external AI solutions, focusing on code-level integration, architecture compatibility, and system performance
• Conduct benchmarking, trade-off analysis, and technical validation for external APIs and platforms
• Collaborate with software engineering and DevOps to ensure secure, production-ready, and scalable deployments
• Stay up to date with the latest developments in AI SDKs, APIs, toolchains, and deployment strategies

Pre-Requisites

Technical Skills:

• Minimum 2 years of hands-on experience in applied AI/ML, AI systems engineering, or AI integration
• Strong proficiency in Python and software engineering fundamentals, including experience with API design, data structures, and modular codebases
• Proven experience working with LLM APIs (e.g., OpenAI, Claude, Gemini), AI SDKs, and toolchains such as LangChain, Hugging Face, or RAG frameworks
• Experience integrating external AI APIs into internal platforms with attention to latency, throughput, and reliability
• Familiarity with cloud environments (AWS, GCP, or Azure) and MLOps workflows (e.g., model deployment, versioning, CI/CD for ML systems)

Preferred Qualifications

• Exposure to vector databases, prompt engineering, or agent-based architectures is a plus
• Strong ability to debug, test, and validate AI services in production environments
• Ability to clearly communicate technical decisions and trade-offs across engineering and AI teams
• Passion for gaming and interest in using AI to enhance user experiences is a plus
• Comfortable working in fast-paced, high pressure, agile environment.

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical discipline