Summary:
We are seeking a talented and experienced AI & Generative AI Developer to join our team and help us create groundbreaking generative AI models and applications. In this role, you will work closely with our team of data scientists, machine learning engineers, and researchers to develop, implement, and optimize generative LLM, and foundational models .The ideal candidate will have a strong background in artificial intelligence, machine learning, NLP, and deep learning, with a passion for innovation and a drive to push the boundaries of generative AI technologies.
Responsibilities:
· Design, develop, and implement cutting-edge generative AI models using state-of-the-art techniques such as General Adversarial Networks (GANs), variational autoencoders (VAEs), and reinforcement learning.
· Collaborate with cross-functional teams to define project goals, research requirements, and develop innovative solutions.
· Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques.
· Stay up-to-date on the latest advancements in generative AI, deep learning, and related fields, and incorporate new techniques and methods into the team's workflow.
· Develop and maintain clear and concise documentation of generative AI models, processes, and results.
· Communicate complex concepts and results to both technical and non-technical stakeholders.
· Provide support and guidance to other team members, and contribute to a positive, collaborative working environment.
· Lead the development and deployment leveraging large language models (LLMs) , MCP Server and agentic frameworks such as MAF, Autogen or CrewAI.
· Oversee cloud deployments, containerization, and orchestration of AI models to ensure scalability and reliability.
Requirements:
· Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
· Strong background in artificial intelligence, machine learning, NLP, and deep learning, with a focus on generative models.
· Technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc.
· Proficiency in programming languages such as Python, and experience (3 - 6 years) with various Python packages (like TensorFlow, PyTorch, or Keras, etc.).
· Demonstrated experience with generative AI techniques, including GANs, VAEs, and reinforcement learning.
· Strong analytical and problem-solving skills, with the ability to quickly understand and adapt to new concepts and technologies.
· Excellent communication and collaboration skills, with the ability to work effectively both independently and as part of a team.
· Familiarity with cloud computing platforms such as AWS, Google Cloud, or Azure.
· Experience with leading LLMs and agentic frameworks such as Autogen or CrewAI.
· Experience with cloud deployments, containerization, and orchestration of AI models.
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。
