**MUST have a PhD to be considered**
*** No Visa sponsorship /transfer/c2c/ available for this role**
Job Summary
Cognizant Tech Soln is seeking a Senior AIML Scientist to design build and scale machine learning systems that power personalization customer intelligence and decision-making across the business. You will work at the intersection of classical ML statistical modeling and emerging Generative and Agentic AI capabilities partnering with engineering product and business stakeholders to turn data into measurable impact.
Responsibilities
Design develop and deploy production-grade propensity models recommendation engines and other predictive ML systems end-to-end.
Lead applied research and rigorous statistical analysis to inform model design experimentation and business strategy.
Build train and operationalize models on Google Cloud Platform (GCP) using services such as Vertex AI BigQuery ML Dataflow and Cloud Run.
Prototype and integrate Generative AI and Agentic AI capabilities into existing ML workflows and customer-facing products.
Partner with data engineering teams to design feature stores training pipelines and model monitoring frameworks.
Translate ambiguous business problems into well-scoped ML solutions and communicate results clearly to technical and non-technical audiences.
Mentor junior data scientists and contribute to best practices in modeling experimentation and MLOps.PhD in Computer Science Statistics Machine Learning Applied Mathematics or a related quantitative discipline.
5+ years of hands-on industry experience building and deploying ML models in production.
Deep expertise in propensity modeling recommendation systems and statistical analysis (causal inference AB testing experimental design).
Proven experience developing and deploying ML models on Google Cloud Platform including services like Vertex AI and BigQuery.
Solid working knowledge of Generative AI and Agentic AI LLMs RAG prompt engineering agent frameworks and evaluation methods.
Strong Python programming skills with proficiency in libraries such as scikit-learn TensorFlow or PyTorch pandas and NumPy.
- Location: must be based in and authorized to work in the United States or Canada
Certifications Required
Google Professional Machine Learning Engineer or equivalent industry certification in cloud based machine learning and ML Ops
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。
