Data Scientist

7 days ago

Singapore Razer USA Ltd. Full time

Senior Data Scientist – AI Integration
Job Details
Location: Singapore | Type: Full-time | Posted: 30+ Days Ago | Requisition ID: JR
Join Razer and be part of a global mission to revolutionize gaming. Razer offers a dynamic, gamer-centric environment that fosters both personal and professional growth.
Job Responsibilities
This role within the AI Integration Pod focuses on evaluating, integrating, and scaling third-party AI tools into Razer's internal AI infrastructure. The candidate will build scalable systems that connect external AI solutions with internal platforms to enable real-time gaming and platform experiences.
The ideal candidate is a technically proficient generalist with strong applied AI/ML knowledge, experience with external AI APIs (e.g., GenAI, vision, speech), and the ability to implement AI solutions into production systems. Collaboration with AI Software Engineers, Data Scientists, and DevOps engineers is essential.
Responsibilities include:
Develop and maintain tools and pipelines for integrating external AI services (LLMs, speech, vision, agents)
Create lightweight in-house AI/ML models to complement third-party tools
Prototype and evaluate external AI solutions focusing on integration, architecture, and system performance
Perform benchmarking and validation of APIs and platforms
Work with engineering and DevOps teams to ensure secure, scalable deployments
Stay updated with the latest AI SDKs, APIs, and deployment strategies
Pre-Requisites
Technical Skills:
At least 3 years of hands-on experience in AI/ML or AI systems engineering
Proficiency in Python, API design, data structures, and modular coding
Experience with LLM APIs (OpenAI, Claude, Gemini), AI SDKs, and frameworks like LangChain, Hugging Face, RAG
Experience integrating AI APIs with attention to latency and reliability
Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps workflows
Preferred Qualifications:
Knowledge of vector databases, prompt engineering, or agent architectures
Strong debugging, testing, and validation skills for AI in production
Effective communication of technical decisions
Interest in gaming and AI-enhanced user experiences
Ability to work in fast-paced, agile environments
Education & Experience:
Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or related fields
Are you game?
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