About the role
As a Senior Data Scientist, you will make an impact by designing, developing, and deploying scalable machine learning and generative AI solutions that drive business value and innovation. You will be a valued member of the Data & AI team and work collaboratively with data engineers, machine learning engineers, cloud architects, product teams, and business stakeholders to deliver production-ready AI capabilities.
In this role, you will:
- Design, build, and deploy scalable machine learning and generative AI solutions in cloud-based environments.
- Develop and optimize predictive models using Python and modern machine learning frameworks.
- Leverage Google Cloud Platform (GCP), Databricks, and Kubernetes to operate AI and ML workloads.
- Integrate large language models (LLMs) and generative AI frameworks into enterprise applications and business processes.
- Establish monitoring, logging, and performance tracking processes to ensure model reliability, scalability, and governance in production environments.
Work model:
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3 days a week in a Cognizant or client office in Alpharetta, GA. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered:
- Bachelor's or master’s degree in computer science, Data Science, Engineering, or a related field.
- 5+ years of experience developing, deploying, and supporting machine learning or AI solutions in enterprise environments.
- Strong programming experience with Python and machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
- Hands-on experience with Google Cloud Platform (GCP) and Databricks.
- Experience deploying and managing containerized applications using Kubernetes.
- Experience working with Generative AI technologies and frameworks, including Hugging Face, LangChain, or LLM APIs.
- Knowledge of distributed computing and large-scale data processing architectures.
- Experience building and consuming RESTful APIs and microservices.
- Strong communication and collaboration skills with the ability to translate business requirements into technical solutions.
These will help you stand out:
- Experience with Vertex AI and other GCP-native machine learning services.
- Knowledge of MLOps best practices, including CI/CD pipelines and model lifecycle management.
- Experience implementing model monitoring, observability, and governance frameworks.
- Experience working with cloud-native data platforms and data engineering workflows.
- Exposure to responsible AI, prompt engineering, and AI model evaluation methodologies.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
Salary and Other Compensation:
Applications will be accepted until September 20, 2026
The annual salary for this position is between $ 130,000 - $ 150,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions
Long-term/Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
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。
