提供中英文簡(jiǎn)歷Job DescriptionRazer Gold aims to become the world’s leading payment service provider fgames digital content. As our business grows to meet the needs of gamers globally, we are looking fan intern software engineer to join our team fulfil the needs of our gamer customer base.As an Data Scientist Intern in Razer Gold, you will participate in the AIML/GenAI solution development play a key role in the Razer Gold Data Scientist team. You will be reporting to the Data Scientist manager in Razer Gold working very closely with engineering functions, product managers various business stakeholders fAIML/GenAI solutions.Key Responsibilities:? Participate in the design implementation of Razer Gold AI related products/solutions/platform.? Understbusiness needs/problems translate them well-defined AIML/GenAI solution designs.? Collaborate with engineering teams to build, configure, test environments pipelines fAIML/GenAI solutions development deployment.? Leverage latest Agentic AI techniques to develop Agentic AI/GenAI prototype solutions aimed at intelligent process automation efficiency gains.? Under guidance of senidata scientists, build AIML models/solutions, including data preparation, model training, optimization evaluation.Key Qualifications:Educational Background: Master's degree in Computer Science, Data Science, Mathematics, Statistics other related fields.Technical Skills:? Proficiency in programming languages commonly used in data engineering data science (e.g., Python, SQL).? Solid knowledge of machine learning/deep learning Generative AI.? Familiar AIML/GenAI frameworks (e.g. Scikit-learn, PyTorch, TensorFlow).? Familiar with prompting engineering, LLM finetune, evaluation RAG system.? Hands-on academic project-based experience with AIML/GenAI frameworks.? Familiarity with cloud data platforms (e.g., AWS, GCP) data warehousing solutions (e.g., Redshift, BigQuery) is a plus.Analytical Skills: Self-motivated, solid problem-solving skills, with a focus on translating data actionable business insights.Communication: Ability to clearly explain complex data findings technical concepts to non-technical stakeholders.Collaboration: Comfortable working in a team environment taking ownership of end-to-end projects from design to deployment.招聘人數(shù):1人
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