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 :

This Senior 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 ecosystemDevelop and optimize lightweight in-house AI/ML models to enhance and complement 3rd-party toolsEvaluate and prototype external AI solutions, focusing on code-level integration, architecture compatibility, and system performanceConduct benchmarking, trade-off analysis, and technical validation for external APIs and platformsCollaborate with software engineering and DevOps to ensure secure, production-ready, and scalable deploymentsStay up to date with the latest developments in AI SDKs, APIs, toolchains, and deployment strategies

Pre-Requisites :

Pre-Requisites

Technical Skills:

Minimum 3 years of hands-on experience in applied AI/ML, AI systems engineering, or AI integrationStrong proficiency in Python and software engineering fundamentals, including experience with API design, data structures, and modular codebasesProven experience working with LLM APIs (e.g., OpenAI, Claude, Gemini), AI SDKs, and toolchains such as LangChain, Hugging Face, or RAG frameworksExperience integrating external AI APIs into internal platforms with attention to latency, throughput, and reliabilityFamiliarity 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 plusStrong ability to debug, test, and validate AI services in production environmentsAbility to clearly communicate technical decisions and trade-offs across engineering and AI teamsPassion for gaming and interest in using AI to enhance user experiences is a plusComfortable 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

Are you game?