职位介绍
NLP
Data Science
知识图谱
数据科学
You'll work in a collaborative, trusting, thought-provoking environment-one that encourages diversity of thought and creative solutions that are in the best interests of our customers globally. We embrace a culture of experimentation and constantly strive for improvement and learning. As a Data Scientist, you will work collaboratively with Data engineers, not only to solve business problems through innovation and engineering practices, but also to apply your depth of knowledge and expertise to all aspects of the analytical problem solution lifecycle. Responsibilities/Duties: • Gather requirements, brainstorm, and communicate effectively across various teams and stakeholders • Analyze data, perform feature engineering to select appropriate features • Build state-of-the-art machine learning and statistical models, perform hyperparameter optimization, evaluate model performance, test and deploy by ensuring algorithms generate accurate user recommendations • Architect, develop and automate data pipelines, using python, spark, SQL and various cloud resources to establish interaction • Present valuable insights to the stakeholders by creating reports, documents, presentations, and effectively articulate technical topics to non-technical audience • Maintain, support, and enhance existing machine learning models and data pipelines Required Qualifications: • Bachelor’s degree in Computer Science, Electrical/Electronic Engineering, Information Technology or another related field or Equivalent • Proven experience in developing and deploying machine learning models, and AI solutions. • Proficiency in programming languages such as Python, Java, or C#. • Strong knowledge of machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn) , promopt engineering and LLM tech stacks such as Azure OpenAI, Llama2, etc. • Experience with natural language processing (NLP), knowledge graph is a big plus. • Excellent problem-solving skills and the ability to work independently and in a team. • Strong communication and collaboration skills. • Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud) is a bonus. • Demonstrated commitment to staying updated with the latest AI research and technologies. • Good written and oral English.
其他信息
语言要求:英语、普通话
所属部门:IT部门
公司简介
公司信息
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