Job Responsibilities:
Collaborating with business users to understand their key priorities and use cases; proposing and developing solutions using data science and/or Generative AI techniques to drive business value
Researching emerging AI/data science techniques and identifying relevant ones to explore and adopt (e.g. Agentic, LLM, Predictive, Fraud/Anomaly Detection, Text Analytics, Customer Segmentation)
Data wrangling & analysis - preprocessing, cleaning and feature engineering
Supporting the daily operations and maintenance of deployed data science models and products
Developing backend APIs and services to support AI model deployment and integration
Building frontend interfaces and user experiences for AI-powered applications
Documenting changes to existing products
Reviewing and implementing fixes for reported security vulnerabilities;
Job Requirements:
Able to understand and apply a range of AI/ML techniques for regression and classification
Familiar with popular python packages ( e.g. pandas, matplotlib, scikit-learn, XGBoost, NLTK, spaCy )
Understanding of LLM concepts (e.g. context windows, embeddings, chunking, token management) and architectures (e.g. RAG)
Experience with context engineering techniques and prompt optimization strategies
Proficient in git, SQL
Proficient in Business Intelligence tools (e.g. Tableau, Qlik, MS PowerBI, Microstrategy)
Bonus Skillsets
Proficient in modern programming languages (e.g. typescript, C#)
Experience in cloud platform and services preferably in AWS
Experience in Docker/Kubernetes
Experience with web frameworks and full-stack development, including backend frameworks (e.g. FastAPI, Flask, Express.js) and RESTful API development, and frontend technologies (e.g. React, Vue.js, HTML/CSS, TypeScript)
Experience with LLM frameworks (e.g. LangChain, LlamaIndex, Hugging Face Transformers)
Knowledge of vector databases and embedding techniques (e.g. Pinecone, Chroma, FAISS)
Understanding of AI agent frameworks and multi-agent systems
Strong presentation skills and ability to explain technical concepts clearly to a non-technical audience
Proficient in statistical software tools (e.g. R, SAS)
#LI-CTSAPAC
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
