Data Scientist

This Data Scientist role sits within the Applied AI 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.

Job Description

• 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

Prerequisites

Technical Skills

Preferred Qualifications

Education & Experience

#J-18808-Ljbffr