обновлено 16 дней назад
Senior Data Scientist (Generative AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (Generative AI) (GenAI/LLMs): Designing and developing production-ready GenAI solutions for interactive systems and developer-facing tools with an accent on RAG pipelines, agentic workflows, and large language model adaptation. Focus on building scalable microservices, optimizing latency and reliability, and evaluating models across cloud-based production environments.
Location: Singapore office; occasional travel of up to one trip per year.
Company
Razer is a global gaming company developing products and technologies for gamers across a team operating on five continents.
What you will do
- Design, develop, and maintain Generative AI solutions for developer tools and interactive applications.
- Build RAG systems, including retrieval pipelines, indexing strategies, and prompt orchestration.
- Develop agentic workflows and GenAI packages supporting reasoning, planning, and tool-based execution.
- Collaborate with software and data engineers to build production pipelines, data schemas, ingestion processes, and validation strategies.
- Fine-tune, evaluate, and optimize large language models and GenAI services for latency, scalability, reliability, and cost efficiency.
- Support deployment, monitoring, documentation, research, and responsible development of cloud-based AI services.
Requirements
- Proven experience developing and deploying applied machine learning or Generative AI systems in real-world applications.
- Proficiency in Python and strong understanding of LLMs, prompt engineering, retrieval systems, and agent-based architectures.
- Hands-on experience with PyTorch or TensorFlow and with RAG pipelines, GenAI tools, or AI-powered microservices.
- Familiarity with cloud-based AI platforms and production ML workflows for training, evaluation, and deployment.
- Strong analytical, problem-solving, written, and verbal communication skills.
- Master’s or PhD in Computer Science, AI, Machine Learning, or a related field, plus 2+ years of applied ML or Generative AI experience.
Nice to have
- Experience with 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.
- Knowledge of tool-using agents, function calling, and planning-based workflows.
Culture & Benefits
- Opportunity to contribute to gaming technology with global impact.
- Collaboration across global, multidisciplinary teams.
- Inclusive and respectful workplace with equal employment opportunities.
- Reasonable accommodations are provided for disability and religious practices where needed.
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