Associate Data Scientist (AI)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
TL;DR
Associate Data Scientist (AI): Researching, designing, and scaling multimodal agent systems within an internal AI platform with an accent on LLM integration, RAG pipelines, and multimodal model fine-tuning. Focus on developing autonomous agents that combine vision, speech, and text for real-time, context-aware gaming experiences.
Location: Based in the Singapore office
Company
is a global company dedicated to revolutionizing the gaming experience through high-performance hardware and software.
What you will do
- Design and implement multimodal agentic AI architectures, including perception, planning, memory, and multi-step reasoning.
- Build and optimize multimodal Retrieval-Augmented Generation (RAG) pipelines using vector databases and internal knowledge sources.
- Perform fine-tuning and adaptation of LLMs and multimodal models using SFT and PEFT methods like LoRA.
- Develop internal agent frameworks and orchestration layers for multimodal-model-driven workflows.
- Productionize AI systems while balancing model capability, latency, cost, and reliability.
- Collaborate with AI Software Engineers, Research Scientists, and DevOps teams throughout the system lifecycle.
Requirements
- Master's degree or PhD in Computer Science, AI, Machine Learning, or a closely related technical discipline.
- Strong proficiency in Python and software engineering fundamentals (API design, modular architecture).
- Hands-on experience with LLM APIs (OpenAI, Claude, Gemini) and multimodal foundation models.
- Practical experience with agent and RAG frameworks such as LangChain, LlamaIndex, or AutoGen.
- Knowledge of AI deployment and MLOps workflows on cloud platforms (AWS, GCP, Azure).
- Must be based in the Singapore office.
Nice to have
- Experience with parameter-efficient fine-tuning (PEFT) techniques such as LoRA or QLoRA.
- Expertise with vector databases like Pinecone, Weaviate, Milvus, or FAISS.
- Strong understanding of multimodal prompt engineering and retrieval strategies.
- Passion for gaming and creating immersive AI experiences.
Culture & Benefits
- Opportunity to work across a global team spanning 5 continents.
- Accelerated professional and personal growth in a research-driven, agile environment.
- Unique, gamer-centric #LifeAt experience.
- Commitment to an inclusive, respectful, and diverse workplace.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β