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Open nowPosted yesterday

Senior Data Scientist

RAZER (ASIA-PACIFIC) PTE. LTD.

Pay
SGD 9,000 – SGD 13,000 a month
Where
West, Singapore
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Your applicationOpen nowSenior Data ScientistRAZER (ASIA-PACIFIC) PTE. LTD. · West, Singapore

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Share of postings closed within
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  2. 4.5%3 days
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  4. 20.6%14 days
  5. 35.6%30 days
  6. 58.4%60 days
This job: posted yesterday

The posting

Job Responsibilities :

This role will focus on designing and developing GenAI-driven solutions for interactive systems and developer-facing tools. The ideal candidate will have strong expertise in GenAI technologies, including large language models, retrieval-augmented generation (RAG), and agentic workflows, with experience building scalable and production-ready AI services. This role involves working closely with data engineers, software engineers, and game developers to deliver robust AI tools, manage production pipelines, and enable fast iteration in real-world environments.

  • Design, develop, and maintain GenAI solutions for developer tools and interactive applications.
  • Build and extend RAG-based systems, including retrieval pipelines, indexing strategies, and prompt orchestration.
  • Develop agentic workflows and GenAI packages to support reasoning, planning, and tool-based execution patterns.
  • Collaborate with software engineering teams to design and manage production pipelines for GenAI microservices.
  • Work with data engineering teams to define data schemas, ingestion pipelines, and validation strategies for structured and unstructured data used by GenAI systems.
  • Fine-tune and adapt large language models for domain-specific tasks and performance requirements.
  • Partner with AI engineers to evaluate GenAI system performance using task-specific metrics, benchmarks, and qualitative analysis.
  • Optimize GenAI services and pipelines for latency, scalability, reliability, and cost efficiency in production environments.
  • Assist in the deployment, monitoring, and maintenance of GenAI services in cloud-based infrastructures.
  • Document system designs, workflows, experiments, and implementation details for internal knowledge sharing.
  • Stay updated on emerging trends and advancements in GenAI, LLMs, and agent-based systems through research and experimentation.
  • Consider ethical, legal, and regulatory implications in the development and deployment of AI systems.

Pre-Requisites :

Qualifications

  • Proven experience in developing and deploying applied machine learning or Generative AI systems in real-world applications.
  • Proficiency in Python; experience with additional languages is a plus.
  • Strong understanding of LLMs, prompt engineering, retrieval systems, and agent-based architectures.
  • Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow.
  • Experience building and evaluating RAG pipelines, GenAI tools, or AI-powered microservices.
  • Familiarity with cloud-based AI platforms and production ML workflows for training, evaluation, and deployment.
  • Ability to evaluate and optimize model performance using task-specific metrics and benchmarks.
  • Strong analytical and problem-solving skills.
  • Excellent written and verbal communication skills across technical and non-technical teams.

Preferred

  • Experience building RAG microservices, agent frameworks, or modular GenAI tooling.
  • Exposure to multi-GPU training, distributed experiments, or large-scale model fine-tuning.
  • Experience with AWS SageMaker or similar managed ML platforms.
  • Awareness of emerging GenAI techniques, including tool-using agents, function calling, and planning-based workflows.

Education & Experience

  • Master’s or PhD in a relevant field (Computer Science, AI, Machine Learning, etc.).
  • 2+ years of applied experience in machine learning or Generative AI (academic or industry).

Travel Requirements

Role based in Singapore office, with occasional travel (up to 1 trip per year) for conferences, research collaborations, or business meetings.

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